Triple
T20184952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent Lane |
E492828
|
entity |
| Predicate | hasBandmate |
P56197
|
FINISHED |
| Object | Nick Campbell |
—
|
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: Nick Campbell | Statement: [Trent Lane, hasBandmate, Nick Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Campbell Context triple: [Trent Lane, hasBandmate, Nick Campbell]
-
A.
Nick Campbell
Nick Campbell is a middle-aged, out-of-work salesman who becomes a tech company intern alongside his friend in the comedy film "The Internship."
-
B.
Nick Campbell
chosen
Nick Campbell is a fictional musician best known as a member of the animated rock band Mystik Spiral from the TV series "Daria."
-
C.
Nicholas Campbell
Nicholas Campbell is a Canadian actor best known for his work in film and television, including his lead role in the crime drama series "Da Vinci's Inquest."
-
D.
Ken Campbell
Ken Campbell was a British actor, writer, and director known for his eccentric performances, experimental theatre work, and influential one-man shows.
-
E.
Rob Campbell
Rob Campbell is a New Zealand business leader and professional director who has served in prominent governance roles across the country’s corporate and public sectors.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f199688190a42094cce220f6f2 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.