Triple
T10809974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude Jarman Jr. as Jody Baxter |
E255070
|
entity |
| Predicate | ageOfActorAtTime |
P95575
|
FINISHED |
| Object | child |
—
|
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: child | Statement: [Claude Jarman Jr. as Jody Baxter, ageOfActorAtTime, child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfActorAtTime Context triple: [Claude Jarman Jr. as Jody Baxter, ageOfActorAtTime, child]
-
A.
performerAgeAtRelease
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
B.
yearCast
Indicates the specific year in which a particular cast or casting of something (such as a film, show, or performance) took place.
-
C.
performerAgeAtRecording
Indicates the age of the performer at the time the recording was made.
-
D.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
E.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa334b8c819082eaf8537084c323 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:18 p.m.