Triple
T21450274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thin Line Between Love and Hate |
E529188
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Michael Jablow |
—
|
NE NERFINISHED |
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: [A Thin Line Between Love and Hate, editedBy, Michael Jablow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jablow Context triple: [A Thin Line Between Love and Hate, 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 Jaffe
Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
-
C.
Michael Skloff
Michael Skloff is an American composer best known for co-writing and arranging the iconic theme song for the television series "Friends."
-
D.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
-
E.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d281c0819080c3f8a58947a115 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.