Triple
T7502399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Flavin |
E177295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Flavin |
E558419
|
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: Flavin | Statement: [Jennifer Flavin, familyName, Flavin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flavin Context triple: [Jennifer 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.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59be2748190ad8e94179f594e51 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.