Triple
T11049619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Flyer |
E261210
|
entity |
| Predicate | isElijahWoodFilmDebut |
P47973
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Radio Flyer, isElijahWoodFilmDebut, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElijahWoodFilmDebut Context triple: [Radio Flyer, isElijahWoodFilmDebut, false]
-
A.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
B.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
C.
screenDebutInMajorRoleFor
chosen
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
D.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
-
E.
beginsWithFilm
Indicates that one entity (typically a series, collection, or sequence) starts or is initiated with a particular film as its first element.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.