Triple
T30634602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Week-End in Havana |
E779803
|
entity |
| Predicate | leadActorForCharacterJayWilliams |
P180255
|
FINISHED |
| Object | John Payne |
—
|
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: John Payne | Statement: [Week-End in Havana, leadActorForCharacterJayWilliams, John Payne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacterJayWilliams Context triple: [Week-End in Havana, leadActorForCharacterJayWilliams, John Payne]
-
A.
leadActorForCharacterJade
Indicates that the subject is the primary actor who portrays the character named Jade.
-
B.
leadActorForCharacter Philip Shayne
Indicates that the specified person is the primary actor portraying the character Philip Shayne.
-
C.
leadActorForCharacterJamesSimon
Indicates that a person serves as the primary actor portraying the character James Simon in a production.
-
D.
leadActorForCharacter_JeffTravis
Indicates that the referenced person is the lead actor portraying the character Jeff Travis.
-
E.
leadActorForCharacter_MaceBrown
Indicates that a person is the primary actor portraying the character Mace Brown.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 29, 2026, 8:28 p.m.