Triple
T10027729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildewoman |
E200772
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Molad |
E222193
|
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: Dan Molad | Statement: [Wildewoman, producer, Dan Molad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Molad Context triple: [Wildewoman, producer, Dan Molad]
-
A.
Dan Molad
chosen
Dan Molad is an American drummer and producer best known as a member of the indie pop band Lucius.
-
B.
Avron Fogelman
Avron Fogelman is an American businessman and philanthropist best known as a former co-owner of the Kansas City Royals Major League Baseball team.
-
C.
Avner Kaufman
Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
-
D.
Michael Aronov
Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
-
E.
Dov Hoenig
Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde51c408190afb34010b1707014 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3697d5b008190b274a086172c7a7d |
completed | April 6, 2026, 8:06 a.m. |
Created at: March 30, 2026, 8:54 p.m.