Triple
T6730829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airborne (1993 film) |
E153628
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Michael Jablow |
E392043
|
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: Michael Jablow | Statement: [Airborne (1993 film), editedBy, Michael Jablow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jablow Context triple: [Airborne (1993 film), editedBy, Michael Jablow]
-
A.
Michael Jablow
chosen
Michael Jablow is a film editor best known for his work on major Hollywood movies, including the baseball comedy-drama "A League of Their Own."
-
B.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
-
C.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
D.
Michael Bender
Michael Bender is a film producer best known for his work on the 1988 dark comedy fantasy film "Beetlejuice."
-
E.
Michael Wincott
Michael Wincott is a Canadian character actor known for his distinctive raspy voice and memorable villainous roles in films such as The Crow, Robin Hood: Prince of Thieves, and Nope.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a6e21788190b91b2102ddd62aa0 |
completed | March 28, 2026, 12:01 a.m. |
Created at: March 27, 2026, 2:09 p.m.