Triple
T11760784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Police Chief Bill Gillespie |
E279648
|
entity |
| Predicate | filmSettingTime |
P52439
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Police Chief Bill Gillespie, filmSettingTime, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSettingTime Context triple: [Police Chief Bill Gillespie, filmSettingTime, 1960s]
-
A.
filmSetting
chosen
Indicates the place, time, or environment in which the events of a film are set or take place.
-
B.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
-
C.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
D.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
E.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.