Triple
T22626076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Flavin |
E558419
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Flavin |
—
|
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: Flavin | Statement: [Dan Flavin, familyName, Flavin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flavin Context triple: [Dan Flavin, familyName, Flavin]
-
A.
Flavin
chosen
Flavin is a surname most notably associated with American minimalist artist Dan Flavin, renowned for his fluorescent light installations.
-
B.
Fremulon
Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
-
C.
Vitan
Vitan is a residential neighborhood in southeastern Bucharest, Romania, known for its mix of older housing blocks, newer developments, and proximity to major commercial areas.
-
D.
Noitamina
Noitamina is a Fuji TV late-night anime programming block in Japan known for showcasing high-quality, often unconventional and character-driven series aimed at a broader audience beyond typical anime demographics.
-
E.
Berij
Berij is a tehsil-level administrative town located in the Jhajjar district of the Indian state of Haryana.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3d55b081908930ebff4372154f |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:01 p.m.