Triple
T30634601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Week-End in Havana |
E779803
|
entity |
| Predicate | leadActorForCharacterNanSpencer |
P9616
|
FINISHED |
| Object | Alice Faye |
—
|
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: Alice Faye | Statement: [Week-End in Havana, leadActorForCharacterNanSpencer, Alice Faye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacterNanSpencer Context triple: [Week-End in Havana, leadActorForCharacterNanSpencer, Alice Faye]
-
A.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
C.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
D.
leadActorNicknameHolder
Indicates that the subject is the person who holds or uses the nickname associated with the lead actor.
-
E.
leadActorForCharacterLance
Indicates that the referenced person is the primary actor who portrays the character named Lance.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 8:28 p.m.