Triple
T10493778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blow Out |
E247482
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Dennis Franz |
E93505
|
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: Dennis Franz | Statement: [Blow Out, hasCastMember, Dennis Franz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Franz Context triple: [Blow Out, hasCastMember, Dennis Franz]
-
A.
Dennis Franz
chosen
Dennis Franz is an American actor best known for his acclaimed portrayal of Detective Andy Sipowicz on the television series "NYPD Blue."
-
B.
William Katt
William Katt is an American actor best known for starring in the 1980s television series "The Greatest American Hero" and appearing in films such as "Carrie."
-
C.
Dennis Farina
Dennis Farina was an American actor and former Chicago police officer best known for his tough-guy roles in films like "Get Shorty" and on TV series such as "Law & Order."
-
D.
Andre Braugher
Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
-
E.
Linus Roache
Linus Roache is an English actor known for his roles in film and television, including prominent performances in series such as "Homeland" and "Law & Order."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.