Triple
T19672120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NKOTBSB |
E472357
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Danny Wood |
—
|
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: Danny Wood | Statement: [NKOTBSB, hasMember, Danny Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Wood Context triple: [NKOTBSB, hasMember, Danny Wood]
-
A.
Danny Wood
chosen
Danny Wood is an American singer, songwriter, and producer best known as a member of the popular late-1980s and early-1990s boy band New Kids on the Block.
-
B.
Tony Woodley
Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
-
C.
David Woodard
David Woodard is an American conductor, writer, and inventor known for his work with dreamachine devices and for conducting memorial and ceremonial music.
-
D.
David Wood
David Wood is a British actor known for his work in film, television, and theatre, as well as for his contributions as a playwright and children's author.
-
E.
Jason Wood
Jason Wood is a British film programmer, curator, and author known for his influential work in cinema programming and film culture.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416cb0bc8190ab27dd28eebb50e7 |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.