Triple
T12631740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Harry |
E301659
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Harry Guardino |
E360259
|
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: Harry Guardino | Statement: [Dirty Harry, starring, Harry Guardino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Guardino Context triple: [Dirty Harry, starring, Harry Guardino]
-
A.
Harry Guardino
chosen
Harry Guardino was an American character actor known for his tough, streetwise roles in mid-20th-century film and television.
-
B.
Anthony Marentino
Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
-
C.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
-
D.
Russell Ferrante
Russell Ferrante is an American jazz pianist, composer, and co-founder of the Grammy-winning fusion group Yellowjackets.
-
E.
Alan Di Fiore
Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610e4f408190946f37325d69375c |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686f9ba48190bd82b2bb037d7d7a |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:15 p.m.