Triple
T28101748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Banana |
E710255
|
entity |
| Predicate | hasStarring |
P132280
|
FINISHED |
| Object | Mario Montez |
—
|
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: Mario Montez | Statement: [Mario Banana, hasStarring, Mario Montez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarring Context triple: [Mario Banana, hasStarring, Mario Montez]
-
A.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
B.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
D.
mainCastIncludes
chosen
Indicates that a work’s primary cast features the specified person or character as one of its main members.
-
E.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 27, 2026, 9:05 p.m.