Triple
T13078450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Booked |
E329638
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Eli Wolf |
E1020089
|
NE FINISHED |
How this triple was built (2 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: Eli Wolf | Statement: [Double Booked, producer, Eli Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eli Wolf Context triple: [Double Booked, producer, Eli Wolf]
-
A.
Eli Wolf
chosen
Eli Wolf is a music producer known for his work on projects such as the album "Canvas."
-
B.
Elliott Wolf
Elliott Wolf is one of the children of television producer Dick Wolf, known for creating the "Law & Order" franchise.
-
C.
Kelly Wolf
Kelly Wolf is an American actress best known for her roles in late-1980s and early-1990s films and television, including the horror genre.
-
D.
Lewis Branscomb
Lewis Branscomb was an American physicist and influential science and technology policy leader known for his work at the intersection of research, innovation, and public policy.
-
E.
John Wildman
John Wildman was a prominent radical politician and agitator during the English Civil War and Interregnum, closely associated with the Levellers and early democratic ideas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:01 p.m.