Triple
T10149415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Damiano |
E232590
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Gerard Damiano Jr. |
E232590
|
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: Gerard Damiano Jr. | Statement: [Gerard Damiano, child, Gerard Damiano Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerard Damiano Jr. Context triple: [Gerard Damiano, child, Gerard Damiano Jr.]
-
A.
Gerard Damiano
chosen
Gerard Damiano was an American adult film director best known for pioneering the mainstream crossover of pornography with his 1972 film "Deep Throat."
-
B.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
C.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
D.
Mike Gruttadauria
Mike Gruttadauria is a former NFL center best known for anchoring the offensive line of the high-powered "Greatest Show on Turf" St. Louis Rams that won Super Bowl XXXIV.
-
E.
Daniel Caltagirone
Daniel Caltagirone is a British actor known for his work in film and television, including roles in projects such as "The Beach," "The Pianist," and various UK dramas.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec03e80c81909c813dae91c56272 |
completed | April 2, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3009992388190ab2a4aee23d0e004 |
completed | April 6, 2026, 12:38 a.m. |
Created at: March 30, 2026, 9:08 p.m.