Triple
T16261278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinfolks |
E394758
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jerry Flowers |
E1201746
|
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: Jerry Flowers | Statement: [Kinfolks, writer, Jerry Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Flowers Context triple: [Kinfolks, writer, Jerry Flowers]
-
A.
Jerry Flowers
chosen
Jerry Flowers is a screenwriter best known for his work on the hit 1990 comedy film "House Party."
-
B.
James Flowers
James Flowers is a relatively obscure individual whose primary distinguishing feature is sharing the surname "Flowers," with no widely recognized public achievements or roles commonly associated with his name.
-
C.
Michael Flowers
Michael Flowers is a professional basketball player known for his collegiate career as a high-scoring guard at Western Michigan, South Alabama, and Washington State before playing overseas.
-
D.
Zay Flowers
Zay Flowers is an American football wide receiver in the NFL, known for his speed, agility, and playmaking ability.
-
E.
Al Flowers
Al Flowers is a community activist and media personality known for his involvement in local civic and social justice issues.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b3b48c8190ad0043d730b1da35 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.