Triple
T33431668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brighton Miracle |
E856145
|
entity |
| Predicate | filmLeadActorAsEddieJones |
P166850
|
FINISHED |
| Object | Temuera Morrison |
—
|
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: Temuera Morrison | Statement: [Brighton Miracle, filmLeadActorAsEddieJones, Temuera Morrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLeadActorAsEddieJones Context triple: [Brighton Miracle, filmLeadActorAsEddieJones, Temuera Morrison]
-
A.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
-
B.
filmCaptainActor
Indicates that the actor plays the role of a captain in the specified film.
-
C.
maleLeadActor
Indicates that the subject is the primary male actor in a performance or production.
-
D.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
E.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e48010788190bd60e56b378f4b4a |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.