Triple
T22013198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hi-Fives |
E543629
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Matt Freeman |
—
|
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: Matt Freeman | Statement: [The Hi-Fives, hasFormerMember, Matt Freeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Freeman Context triple: [The Hi-Fives, hasFormerMember, Matt Freeman]
-
A.
Matt Freeman
chosen
Matt Freeman is an American bassist and vocalist best known as a founding member of the punk rock band Rancid.
-
B.
Matt Freeman
Matt Freeman is an author best known for writing the novel "Salvation."
-
C.
Sean Freeman
Sean Freeman is a contemporary graphic artist and illustrator known for his distinctive, atmospheric typography and cover art for books and other media.
-
D.
Phil Freeman
Phil Freeman is a software engineer and programming language designer best known for creating the PureScript functional programming language.
-
E.
Russ Freeman
Russ Freeman was an American jazz pianist and composer best known for his influential collaborations with trumpeter Chet Baker in the 1950s West Coast jazz scene.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.