Triple
T31495568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Dawson Calvert |
E803530
|
entity |
| Predicate | ageInFilmFramingStory |
P67527
|
FINISHED |
| Object | 101 |
—
|
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: 101 | Statement: [Rose Dawson Calvert, ageInFilmFramingStory, 101]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInFilmFramingStory Context triple: [Rose Dawson Calvert, ageInFilmFramingStory, 101]
-
A.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
B.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
C.
ageDuringNarration
chosen
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
-
D.
ageInVideo
Indicates the age of a person or entity at the time they appear in a specific video.
-
E.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1e8f46c819085d3019e45989d9c |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:41 p.m.