Triple
T13933118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keynote Speaker |
E335040
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
"Stars"
"Stars" is a segment or component of the presentation given by The Keynote Speaker, likely focusing on notable highlights, leading figures, or standout ideas within the talk.
|
E1069911
|
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: "Stars" | Statement: [The Keynote Speaker, hasPart, "Stars"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Stars" Context triple: [The Keynote Speaker, hasPart, "Stars"]
-
A.
Shooting Stars
Shooting Stars is a Nigerian professional football club known for its rich history and passionate fan base.
-
B.
Shooting Stars
Shooting Stars is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
-
C.
Cut from the Stars
"Cut from the Stars" is a song by progressive rock band Yes, featured on their 2023 album "Mirror to the Sky."
-
D.
Release the Stars
Release the Stars is a 2007 studio album by singer-songwriter Rufus Wainwright, noted for its lush orchestration and theatrical pop compositions.
-
E.
All About the Stars
All About the Stars is a popular science book for young readers by Anne Terry White that introduces and explains basic concepts about stars and astronomy.
- 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: "Stars" Triple: [The Keynote Speaker, hasPart, "Stars"]
Generated description
"Stars" is a segment or component of the presentation given by The Keynote Speaker, likely focusing on notable highlights, leading figures, or standout ideas within the talk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Stars" Target entity description: "Stars" is a segment or component of the presentation given by The Keynote Speaker, likely focusing on notable highlights, leading figures, or standout ideas within the talk.
-
A.
Shooting Stars
Shooting Stars is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
-
B.
Shooting Stars
Shooting Stars is a Nigerian professional football club known for its rich history and passionate fan base.
-
C.
Cut from the Stars
"Cut from the Stars" is a song by progressive rock band Yes, featured on their 2023 album "Mirror to the Sky."
-
D.
Release the Stars
Release the Stars is a 2007 studio album by singer-songwriter Rufus Wainwright, noted for its lush orchestration and theatrical pop compositions.
-
E.
All About the Stars
All About the Stars is a popular science book for young readers by Anne Terry White that introduces and explains basic concepts about stars and astronomy.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:17 p.m.