Triple
T15959811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Hogwallop |
E387027
|
entity |
| Predicate | statusDuringFilm |
P120609
|
FINISHED |
| Object | escaped convict |
—
|
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: escaped convict | Statement: [Pete Hogwallop, statusDuringFilm, escaped convict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringFilm Context triple: [Pete Hogwallop, statusDuringFilm, escaped convict]
-
A.
statusAtEndOfFilm
Indicates the condition or situation an entity is in when the film concludes.
-
B.
engagementStatusAcrossFilm
Indicates the state or progression of an engagement (such as a relationship, commitment, or involvement) as it changes or is maintained throughout the duration of a film.
-
C.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
D.
statusAfterFirstFilm
Indicates the status or condition of an entity immediately following the release or completion of its first film.
-
E.
filmingState
Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
- F. None of above. chosen
Provenance (4 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:53 a.m.