Triple
T5166442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Shayne |
E116571
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Shayne |
E116571
|
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 Shayne | Statement: [Robert Shayne, name, Robert Shayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Shayne Context triple: [Robert Shayne, name, Robert Shayne]
-
A.
Robert Shayne
chosen
Robert Shayne was an American character actor best known for playing Inspector Henderson on the 1950s television series "Adventures of Superman."
-
B.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
C.
Jack Moran
Jack Moran is a fictional character appearing in the film "My Blue Heaven."
-
D.
Murphy MacManus
Murphy MacManus is one of the twin Irish-American vigilante brothers who serve as central protagonists in the cult action film "The Boondock Saints."
-
E.
Gavan O'Herlihy
Gavan O'Herlihy was an Irish-American actor known for his character roles in film and television, including appearances in genre and action movies of the 1970s and 1980s.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792c5ea88190b6aa0e519c744155 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93b85188190927d448e09a46425 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.