Triple
T15197581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keely Smith |
E363176
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Sam Butera |
E804653
|
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: Sam Butera | Statement: [Keely Smith, associatedAct, Sam Butera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Butera Context triple: [Keely Smith, associatedAct, Sam Butera]
-
A.
Sam Butera
chosen
Sam Butera was an American tenor saxophonist, bandleader, and key member of Louis Prima’s backing band The Witnesses, known for his energetic jump blues and showmanship.
-
B.
Leo Trombetta
Leo Trombetta is a film editor best known for his work on acclaimed movies such as "Little Children."
-
C.
Tony D'Amato
Tony D'Amato is the hard-driving, old-school head coach of the fictional Miami Sharks football team in the film "Any Given Sunday," portrayed by Al Pacino.
-
D.
Frank Tagliano
Frank Tagliano is the fictional New York mobster-turned-relocated witness protection figure portrayed by Steven Van Zandt in the Norwegian-American TV series "Lilyhammer."
-
E.
Ray Ferraro
Ray Ferraro is a former Canadian professional ice hockey player and prominent NHL broadcaster known for his long playing career and work as a television analyst.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 3:10 a.m.