Triple
T28135231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleuth |
E714180
|
entity |
| Predicate | 2007FilmStars |
P5563
|
FINISHED |
| Object | Michael Caine |
—
|
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: Michael Caine | Statement: [Sleuth, 2007FilmStars, Michael Caine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2007FilmStars Context triple: [Sleuth, 2007FilmStars, Michael Caine]
-
A.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
C.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
D.
isMultimediaStarIn
Indicates that an entity is a prominent or featured multimedia performer or personality within a specified work, production, or context.
-
E.
linkedToFilmStar
Indicates that one entity has a direct connection or association with a film star.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 9:49 p.m.