Triple
T23443564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big City Greens |
E565469
|
entity |
| Predicate | hasRelativeCharacter |
P71486
|
FINISHED |
| Object | Bill Green |
—
|
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: Bill Green | Statement: [Big City Greens, hasRelativeCharacter, Bill Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Green Context triple: [Big City Greens, hasRelativeCharacter, Bill Green]
-
A.
Bill Green
chosen
Bill Green is a central character in the animated series "Big City Greens," known as the practical, good-natured father of the Green family.
-
B.
Dick Green
Dick Green is a British music industry executive best known as the co-founder of the influential independent record label Creation Records.
-
C.
Mike Green
Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
-
D.
Mike Green
Mike Green is a Canadian former professional ice hockey defenseman best known for his high-scoring seasons with the Washington Capitals in the NHL.
-
E.
Mike Green
Mike Green is a music producer best known for his work on rock and alternative albums, including projects with bands like Paramore.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64717d08190a2c25e7bbfc17a2f |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.