Triple
T15493003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief John Big Tree |
E378743
|
entity |
| Predicate | filmIndustryDebut |
P118463
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Chief John Big Tree, filmIndustryDebut, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmIndustryDebut Context triple: [Chief John Big Tree, filmIndustryDebut, early 20th century]
-
A.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
B.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
C.
soundFilmDebutDate
Indicates the date on which an entity first appeared in a sound film.
-
D.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
E.
filmDebutInHollywoodFor
Indicates that one entity made its first appearance or debut in Hollywood through the other entity (such as a specific film or role).
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:49 a.m.