Triple
T8738955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijayakanth |
E207454
|
entity |
| Predicate | yearsActiveInFilm |
P15974
|
FINISHED |
| Object | 1979–2010s |
—
|
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: 1979–2010s | Statement: [Vijayakanth, yearsActiveInFilm, 1979–2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveInFilm Context triple: [Vijayakanth, yearsActiveInFilm, 1979–2010s]
-
A.
activeYearsInFilm
chosen
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
B.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
-
C.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
D.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
E.
playedInYear
Indicates that an entity participated in or was active in a particular activity, event, or role during a specified calendar year.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.