Triple
T14889006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy LiPuma |
E359704
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | LiPuma |
E1055253
|
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: LiPuma | Statement: [Tommy LiPuma, familyName, LiPuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LiPuma Context triple: [Tommy LiPuma, familyName, LiPuma]
-
A.
LiPuma
chosen
LiPuma is a surname most notably associated with Tommy LiPuma, an influential American record producer and music industry executive.
-
B.
Lee Pardini
Lee Pardini is an American keyboardist and composer best known as the longtime keyboard player for the folk-rock band Dawes and for his work as a versatile session musician.
-
C.
Lupe Gidley
Lupe Gidley is an American actress and photographer best known as the wife of character actor Christopher McDonald.
-
D.
Elizabeth Téa Pantaleoni
Elizabeth Téa Pantaleoni, better known as Téa Leoni, is an American actress and producer recognized for her roles in films like "Deep Impact" and the TV series "Madam Secretary."
-
E.
Linda Lea
Linda Lea is a television producer best known for creating the popular cooking competition show "Chopped."
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f6cf5c8190b6b28f58fafe5d59 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5f22c08190a9530cbd78cfc801 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:09 a.m.