Triple
T15717500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.E.R. (self-titled compilation album) |
E380997
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Facts
"Facts" is a song by H.E.R. featured on her self-titled compilation album, showcasing her soulful R&B style and introspective lyricism.
|
E1172785
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Facts | Statement: [H.E.R. (self-titled compilation album), hasPart, Facts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Facts Context triple: [H.E.R. (self-titled compilation album), hasPart, Facts]
-
A.
FACTS
FACTS is the commonly used acronym for the Finnish Academy of Technical Sciences, a learned society that promotes research and expertise in engineering and technology in Finland.
-
B.
FACT
FACT is the ICAO airport code assigned to Cape Town International Airport in South Africa.
-
C.
Facts and Myths
"Facts and Myths" is the first volume of Simone de Beauvoir’s landmark feminist work *The Second Sex*, in which she analyzes cultural narratives and misconceptions about women.
-
D.
Facts and Propositions
Facts and Propositions is a 1927 philosophical work by F. P. Ramsey that develops an influential account of truth, belief, and the nature of propositions within analytic philosophy.
-
E.
Factual
Factual was a location data company known for providing global places and movement data used in advertising, mobile apps, and analytics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Facts Triple: [H.E.R. (self-titled compilation album), hasPart, Facts]
Generated description
"Facts" is a song by H.E.R. featured on her self-titled compilation album, showcasing her soulful R&B style and introspective lyricism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Facts Target entity description: "Facts" is a song by H.E.R. featured on her self-titled compilation album, showcasing her soulful R&B style and introspective lyricism.
-
A.
FACTS
FACTS is the commonly used acronym for the Finnish Academy of Technical Sciences, a learned society that promotes research and expertise in engineering and technology in Finland.
-
B.
FACT
FACT is the ICAO airport code assigned to Cape Town International Airport in South Africa.
-
C.
Facts and Myths
"Facts and Myths" is the first volume of Simone de Beauvoir’s landmark feminist work *The Second Sex*, in which she analyzes cultural narratives and misconceptions about women.
-
D.
Facts and Propositions
Facts and Propositions is a 1927 philosophical work by F. P. Ramsey that develops an influential account of truth, belief, and the nature of propositions within analytic philosophy.
-
E.
Factual
Factual was a location data company known for providing global places and movement data used in advertising, mobile apps, and analytics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7583609c8190a80421fce649900f |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76deb1948190bc49825719ac97d5 |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77642ba4819095c1acc65da06135 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:45 a.m.