Triple
T18027071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Fonda as Lieutenant Colonel Owen Thursday |
E431280
|
entity |
| Predicate | ageOfActorAtRelease |
P79821
|
FINISHED |
| Object | earlyFortiesApproximate |
—
|
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: earlyFortiesApproximate | Statement: [Henry Fonda as Lieutenant Colonel Owen Thursday, ageOfActorAtRelease, earlyFortiesApproximate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageOfActorAtRelease Context triple: [Henry Fonda as Lieutenant Colonel Owen Thursday, ageOfActorAtRelease, earlyFortiesApproximate]
-
A.
ageOfActorAtTime
Indicates the age that an actor has at a specified point in time.
-
B.
performerAgeAtRelease
chosen
Indicates the age of a performer at the time a work (such as a recording or performance) is released.
-
C.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
D.
yearCast
Indicates the specific year in which a particular cast or casting of something (such as a film, show, or performance) took place.
-
E.
videoReleaseYear
Indicates the calendar year in which a video was first released or made publicly available.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c7be308190af0d77c0df6d94ce |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.