Triple
T10713184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacqueline Bisset |
E252592
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Airport |
E857563
|
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: Airport | Statement: [Jacqueline Bisset, notableWork, Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airport Context triple: [Jacqueline Bisset, notableWork, Airport]
-
A.
Airport
"Airport" is the musical score composed by Alfred Newman for the 1970 disaster film of the same name, noted for its dramatic orchestral themes that underscore the movie’s tension and romance.
-
B.
Airport
chosen
"Airport" is a 1970 American disaster-drama film, based on Arthur Hailey's novel, that helped launch the popular 1970s disaster movie genre.
-
C.
Terminal Aérea
Terminal Aérea is a Mexico City Metro station that serves the area around the Mexico City International Airport, providing convenient transit access for air travelers.
-
D.
Airport Sector
Airport Sector is a specialized unit of the Central Industrial Security Force (CISF) responsible for providing security and protection at airports across India.
-
E.
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe54465081909640f6d7a2314fcb |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.