Triple
T21039285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Tierney |
E518275
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lawrence Tierney |
—
|
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: Lawrence Tierney | Statement: [Lawrence Tierney, name, Lawrence Tierney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Tierney Context triple: [Lawrence Tierney, name, Lawrence Tierney]
-
A.
Lawrence Tierney
chosen
Lawrence Tierney was an American film and television actor best known for his tough-guy roles in classic crime films and later for his intimidating presence in movies like Quentin Tarantino's "Reservoir Dogs."
-
B.
Arthur Caan
Arthur Caan is the son of the late American actor James Caan, known for his iconic roles in films such as "The Godfather."
-
C.
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."
-
D.
John Phillip Law
John Phillip Law was an American film actor known for his roles in 1960s and 1970s movies, including notable performances in both comedies and cult classics.
-
E.
Stacy Keach
Stacy Keach is an American actor known for his powerful character roles in film, television, and theater, often portraying tough, authoritative figures.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:14 p.m.