Triple
T29245519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini |
E741428
|
entity |
| Predicate | leadActorFullName |
P151128
|
FINISHED |
| Object | Kennedy John Victor (Vikram) |
—
|
NE NERFINISHED |
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: Kennedy John Victor (Vikram) | Statement: [Gemini, leadActorFullName, Kennedy John Victor (Vikram)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorFullName Context triple: [Gemini, leadActorFullName, Kennedy John Victor (Vikram)]
-
A.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
leadActorNicknameHolder
Indicates that the subject is the person who holds or uses the nickname associated with the lead actor.
-
C.
leadActorCurrentName
chosen
Indicates the current, primary name of the actor who plays the leading role in a work.
-
D.
leadActorNickname
Indicates that one entity is the nickname used for the lead actor of another entity (such as a film, show, or production).
-
E.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 12:32 p.m.