Triple
T34486864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If a Man Answers |
E885352
|
entity |
| Predicate | leadActorForCharacter Chantal Stacy |
P183760
|
FINISHED |
| Object | Sandra Dee |
—
|
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: Sandra Dee | Statement: [If a Man Answers, leadActorForCharacter Chantal Stacy, Sandra Dee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter Chantal Stacy Context triple: [If a Man Answers, leadActorForCharacter Chantal Stacy, Sandra Dee]
-
A.
leadActorForCharacterChantry
Indicates that one entity is the primary actor portraying the character Chantry in a performance or production.
-
B.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
C.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
D.
leadActressPlaysCharacter
chosen
Indicates that a lead actress portrays or performs the role of a specific character.
-
E.
leadActorForCharacter Philip Shayne
Indicates that the specified person is the primary actor portraying the character Philip Shayne.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 2:01 a.m.