Triple
T20123948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Blood |
E490694
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Bigwig |
—
|
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: Bigwig | Statement: [New Blood, artist, Bigwig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bigwig Context triple: [New Blood, artist, Bigwig]
-
A.
Bigwig
Bigwig is a brave, strong-willed rabbit and one of the key leaders in Richard Adams's novel "Watership Down."
-
B.
Bigwig
chosen
Bigwig is an American punk rock band known for its fast-paced melodic hardcore sound and energetic performances.
-
C.
Bronck
Bronck is a Dutch-origin surname most notably associated with Jonas Bronck, the early settler after whom the New York City borough of the Bronx is named.
-
D.
Balnibarbi
Balnibarbi is a fictional country in Jonathan Swift's satirical novel "Gulliver's Travels," known for its absurd scientific experiments and mismanaged society.
-
E.
Nagg
Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.