Triple
T9788184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Lewis |
E237539
|
entity |
| Predicate | notableEmployerPeriod |
P20563
|
FINISHED |
| Object | Pixar Animation Studios in the 2000s |
—
|
LITERAL 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: Pixar Animation Studios in the 2000s | Statement: [Brad Lewis, notableEmployerPeriod, Pixar Animation Studios in the 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEmployerPeriod Context triple: [Brad Lewis, notableEmployerPeriod, Pixar Animation Studios in the 2000s]
-
A.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
B.
notableEmployer
chosen
Indicates that an entity has been employed by, or has worked for, a particularly significant or noteworthy organization or individual.
-
C.
notableOfficePeriod
Indicates that an entity held a particular office or position during a specified time period.
-
D.
notableWorkYear
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
E.
notableLegislationPeriod
Indicates the time period during which a particular piece of legislation was in effect or held notable significance.
- F. None of above.
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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.