Triple
T20938977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pig (2021 film) |
E515663
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Brett W. Bachman |
—
|
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: Brett W. Bachman | Statement: [Pig (2021 film), editedBy, Brett W. Bachman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brett W. Bachman Context triple: [Pig (2021 film), editedBy, Brett W. Bachman]
-
A.
Brett W. Bachman
chosen
Brett W. Bachman is a film editor known for his work on genre films, including the 2022 installment of the Scream franchise.
-
B.
Wayne Westerberg
Wayne Westerberg is a South Dakota grain elevator operator and mechanic known for befriending and employing Christopher McCandless in Jon Krakauer’s book and film "Into the Wild."
-
C.
Brian Baker
Brian Baker is an American guitarist best known as a longtime member of the punk rock band Bad Religion and a founding member of Minor Threat.
-
D.
Ben Eubanks
Ben Eubanks is an American entrepreneur known for co-founding a venture with attorney and political figure Cate Edwards.
-
E.
Matt Messina
Matt Messina is an American film and television composer best known for his award-winning score for the movie "Juno."
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95419a48190b7f62abc59f38bef |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.