Triple
T13166737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got to Be There |
E312869
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Elliot Willensky
Elliot Willensky was an American songwriter and composer best known for penning Michael Jackson’s early solo hit “Got to Be There.”
|
E1026794
|
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: Elliot Willensky | Statement: [Got to Be There, writer, Elliot Willensky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliot Willensky Context triple: [Got to Be There, writer, Elliot Willensky]
-
A.
Elliot Geisinger
Elliot Geisinger is a film producer best known for his work on the horror movie "The Amityville Horror."
-
B.
Elliott Wolf
Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
-
C.
Elliott Lester
Elliott Lester is a British film and television director known for works such as the thriller "Blitz" and the drama "Nightingale."
-
D.
Elliott Wheeler
Elliott Wheeler is an Australian composer and music producer known for his work on film and television scores, including the 2022 biographical musical film "Elvis."
-
E.
Elliot Mazer
Elliot Mazer was an American record producer best known for his work with Neil Young and other major rock and folk artists in the 1970s.
- 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: Elliot Willensky Triple: [Got to Be There, writer, Elliot Willensky]
Generated description
Elliot Willensky was an American songwriter and composer best known for penning Michael Jackson’s early solo hit “Got to Be There.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elliot Willensky Target entity description: Elliot Willensky was an American songwriter and composer best known for penning Michael Jackson’s early solo hit “Got to Be There.”
-
A.
Elliot Geisinger
Elliot Geisinger is a film producer best known for his work on the horror movie "The Amityville Horror."
-
B.
Elliott Wolf
Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
-
C.
Elliott Lester
Elliott Lester is a British film and television director known for works such as the thriller "Blitz" and the drama "Nightingale."
-
D.
Elliott Wheeler
Elliott Wheeler is an Australian composer and music producer known for his work on film and television scores, including the 2022 biographical musical film "Elvis."
-
E.
Elliot Mazer
Elliot Mazer was an American record producer best known for his work with Neil Young and other major rock and folk artists in the 1970s.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f84b24588190a2668205eb25fe51 |
completed | May 3, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f90f02148190a4599282c0249456 |
completed | May 3, 2026, 7:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.