Triple
T14956863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Metro Man |
E372952
|
entity |
| Predicate | filmScreenwriters |
P64760
|
FINISHED |
| Object | Brent Simons |
E377651
|
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: Brent Simons | Statement: [Brad Pitt as Metro Man, filmScreenwriters, Brent Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Simons Context triple: [Brad Pitt as Metro Man, filmScreenwriters, Brent Simons]
-
A.
Brent Simons
chosen
Brent Simons is a screenwriter best known for co-writing the animated superhero comedy film "Megamind."
-
B.
Brett Simons
Brett Simons is a Chicago-based musician and bassist known for his work as a session player and touring performer with various rock and pop artists.
-
C.
Brett Simon
Brett Simon is a film and music video director known for his stylish, narrative-driven work for prominent rock and pop artists.
-
D.
Brett Simon
Brett Simon is a musician best known as a member of the American rock band Juliette and the Licks.
-
E.
Brent Erickson
Brent Erickson is a composer and musician known for creating the musical score for the animated short film "Tin Toy."
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968f25e08190bfbf7a3541f79add |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:40 a.m.