Triple
T26096875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for Possessed (1947 film) |
E658293
|
entity |
| Predicate | starredActress |
P6108
|
FINISHED |
| Object | Joan Crawford |
—
|
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: Joan Crawford | Statement: [Academy Award for Best Actress for Possessed (1947 film), starredActress, Joan Crawford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredActress Context triple: [Academy Award for Best Actress for Possessed (1947 film), starredActress, Joan Crawford]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
starredAustralianActress
Indicates that a person performed a starring role as an actress in an Australian production.
-
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.
leadActress
chosen
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
E.
notableStarName
Indicates that the subject is known by the specified star name as a notable or prominent designation.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6073720748190aecfc9af3ba039fd |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:51 p.m.