Triple
T18533732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James LeGros |
E452906
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Robert Loggia |
—
|
NE NERFINISHED |
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 Loggia | Statement: [James LeGros, relative, Robert Loggia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Loggia Context triple: [James LeGros, relative, Robert Loggia]
-
A.
Robert Loggia
chosen
Robert Loggia was an American character actor and director known for his gruff voice and memorable roles in films such as "Scarface," "Big," and "Independence Day."
-
B.
Richard Crenna
Richard Crenna was an American actor and director known for his roles in films such as the "Rambo" series and numerous television shows including "The Real McCoys."
-
C.
Anthony Cardinale
Anthony Cardinale is an American attorney known for representing high-profile clients in complex criminal and civil cases.
-
D.
Robert Culp
Robert Culp was an American actor best known for his charismatic leading roles in 1960s television, particularly in stylish espionage and crime dramas.
-
E.
Paul Sorvino
Paul Sorvino was an American actor best known for his commanding character roles in films such as "Goodfellas" and for his work on stage and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.