Triple
T26096863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for Possessed (1947 film) |
E658293
|
entity |
| Predicate | genreOfNominatedWork |
P108334
|
FINISHED |
| Object | psychological drama film |
—
|
LITERAL FINISHED |
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: psychological drama film | Statement: [Academy Award for Best Actress for Possessed (1947 film), genreOfNominatedWork, psychological drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfNominatedWork Context triple: [Academy Award for Best Actress for Possessed (1947 film), genreOfNominatedWork, psychological drama film]
-
A.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
B.
nominatedWorkType
Indicates the type or category of work for which an entity has been nominated.
-
C.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
isCreativeWorkOfGenre
chosen
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
E.
nominatedWork
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
- 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_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 7:51 p.m.