Triple
T15715209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. Emmet Walsh |
E380942
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Airport 77 |
E829402
|
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 77 | Statement: [M. Emmet Walsh, notableWork, Airport 77]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airport 77 Context triple: [M. Emmet Walsh, notableWork, Airport 77]
-
A.
Airport ’77
chosen
Airport ’77 is a 1977 American disaster film in the Airport franchise, centered on a luxury jet that crashes into the ocean and becomes trapped underwater.
-
B.
Terminal 2E
Terminal 2E is a major international passenger terminal at Paris Charles de Gaulle Airport, known for handling many long-haul and Air France flights.
-
C.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
D.
Terminal 7
Terminal 7 is one of the passenger terminals at John F. Kennedy International Airport in New York City, historically serving several international airlines.
-
E.
Terminal 7
Terminal 7 is one of the passenger terminals at Los Angeles International Airport, primarily serving United Airlines and its partner carriers.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.