Triple
T14854642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trainwreck |
E349319
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Barry Mendel |
E271299
|
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: Barry Mendel | Statement: [Trainwreck, producer, Barry Mendel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Mendel Context triple: [Trainwreck, producer, Barry Mendel]
-
A.
Barry Mendel
chosen
Barry Mendel is an American film producer known for acclaimed movies such as "The Sixth Sense," "Rushmore," and "Bridesmaids."
-
B.
Steve Pearlman
Steve Pearlman is a television producer best known for his work on various American drama series.
-
C.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
-
D.
Barry Coe
Barry Coe was an American film and television actor best known for his role in the 1957 drama "Peyton Place" and for a series of prominent supporting roles during the 1950s and 1960s.
-
E.
Alan Siegel
Alan Siegel is a film producer best known for his long-running collaboration with actor Gerard Butler on action and thriller movies.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.