Triple
T28770181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumb and Dumberer: When Harry Met Lloyd |
E726388
|
entity |
| Predicate | hasNoOriginalStarsFrom |
P199742
|
FINISHED |
| Object | Dumb and Dumber |
—
|
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: Dumb and Dumber | Statement: [Dumb and Dumberer: When Harry Met Lloyd, hasNoOriginalStarsFrom, Dumb and Dumber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOriginalStarsFrom Context triple: [Dumb and Dumberer: When Harry Met Lloyd, hasNoOriginalStarsFrom, Dumb and Dumber]
-
A.
originalStar
Indicates that one entity is the initial or primary star from which another star or stellar object originates, is derived, or is otherwise based.
-
B.
hasStars
Indicates that an entity possesses or is associated with one or more stars.
-
C.
notableOriginalStar
Indicates that the subject work or production is notably associated with a particular original star who played a key role in its initial or defining version.
-
D.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
E.
hasMainStars
Indicates that an entity (such as a film, show, or performance) features the specified entities as its principal or leading performers.
- F. None of above. chosen
Provenance (4 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff53389a0481908b2baeb43c6294f0 |
completed | May 9, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69ff52e2b4b88190b38d160d771fe14b |
completed | May 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69ff5337e6f88190ae0418335477063c |
completed | May 9, 2026, 3:31 p.m. |
Created at: April 28, 2026, 6:15 a.m.