Triple
T6969667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIIMA Awards |
E161569
|
entity |
| Predicate | awardCategoryType |
P1498
|
FINISHED |
| Object | Best Actress |
E11087
|
NE 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: Best Actress | Statement: [SIIMA Awards, awardCategoryType, Best Actress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Best Actress Context triple: [SIIMA Awards, awardCategoryType, Best Actress]
-
A.
Best Actress
chosen
Best Actress is a major Academy Award category that honors the most outstanding leading performance by a female actor in a given year.
-
B.
Best Actress Award
The Best Actress Award is a top acting honor presented at the Thessaloniki International Film Festival to recognize the most outstanding female performance in a film showcased at the event.
-
C.
Best Actor
Best Actor is a prestigious Academy Award category honoring the most outstanding leading performance by a male actor in a given film year.
-
D.
Best Actor
Best Actor is a leading performance award category recognizing outstanding male acting in television at the International Emmy Awards Gala.
-
E.
Golden Calf for Best Actress
The Golden Calf for Best Actress is a premier Dutch film award honoring the year’s most outstanding leading female performance in cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1649288190a52c7dab57b3c7dc |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7619ebab88190916e3d68068ed71d |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.