Triple
T16953138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intense |
E411231
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Cindy Alma
Cindy Alma is a French singer and songwriter best known for her vocal collaborations with electronic dance music producers.
|
E1243418
|
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: Cindy Alma | Statement: [Intense, featuresArtist, Cindy Alma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Alma Context triple: [Intense, featuresArtist, Cindy Alma]
-
A.
Cindy Herron
Cindy Herron is an American singer and actress best known as a founding member of the R&B/pop group En Vogue.
-
B.
Cindy Cash
Cindy Cash is an American singer and author best known as one of the daughters of country music legend Johnny Cash.
-
C.
Cindy
Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
-
D.
Cindy
Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
-
E.
Cindy Green
Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
- 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: Cindy Alma Triple: [Intense, featuresArtist, Cindy Alma]
Generated description
Cindy Alma is a French singer and songwriter best known for her vocal collaborations with electronic dance music producers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cindy Alma Target entity description: Cindy Alma is a French singer and songwriter best known for her vocal collaborations with electronic dance music producers.
-
A.
Cindy Herron
Cindy Herron is an American singer and actress best known as a founding member of the R&B/pop group En Vogue.
-
B.
Cindy Cash
Cindy Cash is an American singer and author best known as one of the daughters of country music legend Johnny Cash.
-
C.
Cindy
Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
-
D.
Cindy
Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
-
E.
Cindy Green
Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d5503be88190ac15a327ff3782ec |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d66e450c8190ae0befd3d7875ed8 |
completed | May 10, 2026, 7:03 p.m. |
Created at: April 10, 2026, 5:31 a.m.