Triple
T23425133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painted Shield |
E560772
|
entity |
| Predicate | collaborativeProjectWith |
P60681
|
FINISHED |
| Object | Jeff Fielder |
—
|
NE NERFINISHED |
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: Jeff Fielder | Statement: [Painted Shield, collaborativeProjectWith, Jeff Fielder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Fielder Context triple: [Painted Shield, collaborativeProjectWith, Jeff Fielder]
-
A.
Jeff Fielder
chosen
Jeff Fielder is an American guitarist and multi-instrumentalist known for his work in rock and alternative music, including collaborations with various bands and artists.
-
B.
Bruce Fielder
Bruce Fielder, better known by his stage name Sigala, is a British DJ, record producer, and songwriter recognized for his upbeat electronic dance music hits.
-
C.
Ron Field
Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
-
D.
Jim Fielder
Jim Fielder is an American bassist best known for his work with the jazz-rock band Blood, Sweat & Tears and his contributions to their classic late-1960s recordings.
-
E.
Kevin Fields
Kevin Fields is the male lead in the romantic comedy film "Monster-in-Law," serving as the love interest whose engagement triggers the central conflict between his fiancée and his overbearing mother.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.