Triple
T8244598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cat's Eye (1985 film) |
E192818
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Robert Hays |
E614806
|
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: Robert Hays | Statement: [Cat's Eye (1985 film), stars, Robert Hays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Hays Context triple: [Cat's Eye (1985 film), stars, Robert Hays]
-
A.
Robert Hays
chosen
Robert Hays is an American actor best known for his comedic lead role as the nervous pilot Ted Striker in the classic parody film "Airplane!" and its sequel.
-
B.
George F. Meacham
George F. Meacham was a 19th-century American landscape architect best known for designing Boston’s Public Garden.
-
C.
Harold Jacob Smith
Harold Jacob Smith was an American screenwriter best known for his Academy Award–winning work on socially conscious films in the mid-20th century.
-
D.
Holland M. Smith
Holland M. Smith was a prominent U.S. Marine Corps general in World War II, renowned for his leadership of amphibious assaults in the Pacific Theater.
-
E.
Hugh Baird
Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d076fe8448819087e12ffe4d5bdf3c |
completed | April 4, 2026, 2:27 a.m. |
Created at: March 30, 2026, 5:47 p.m.