Triple
T29537426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Barry |
E749386
|
entity |
| Predicate | filmDebutYearOfCharacter |
P167445
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Father Barry, filmDebutYearOfCharacter, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmDebutYearOfCharacter Context triple: [Father Barry, filmDebutYearOfCharacter, 1954]
-
A.
filmDebutActorForCharacter
Indicates that an actor is making their first film appearance in the role of a specific character.
-
B.
featuresCharacterDebut
Indicates that the subject work includes the first-ever appearance of a particular character.
-
C.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cc6de1881908c7160e65cc3ed71 |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 4:59 p.m.