Triple
T34680468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuesdays with Morrie |
E890606
|
entity |
| Predicate | televisionFilmLeadActor |
P166850
|
FINISHED |
| Object | Jack Lemmon |
—
|
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: Jack Lemmon | Statement: [Tuesdays with Morrie, televisionFilmLeadActor, Jack Lemmon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionFilmLeadActor Context triple: [Tuesdays with Morrie, televisionFilmLeadActor, Jack Lemmon]
-
A.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
-
B.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
C.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
-
D.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f73b731ec881908f3e4d5e97d31908 |
completed | May 3, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69f73a3a5d008190971cbde33409682b |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 2:05 a.m.