Triple
T23248640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tom Club |
E581657
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | T. J. Quirk |
E581657
|
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: T. J. Quirk | Statement: [Tom Tom Club, hasMember, T. J. Quirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. J. Quirk Context triple: [Tom Tom Club, hasMember, T. J. Quirk]
-
A.
T. J. Quirk
chosen
T. J. Quirk is a musician best known for his work with the new wave band Tom Tom Club.
-
B.
Quinn Martin
Quinn Martin was a prolific American television producer best known for creating and producing numerous hit crime and drama series during the 1960s and 1970s.
-
C.
Ged Doherty
Ged Doherty is a British film and music executive and producer, known for co-founding Raindog Films and working on acclaimed movies such as "Eye in the Sky."
-
D.
Trevor Dillon
Trevor Dillon is a fictional character from the soap opera "All My Children," known for his complex relationships and dramatic storylines in Pine Valley.
-
E.
T. J. O’Donnell
T. J. O’Donnell was the oil prospector credited with discovering California’s Kern River Oil Field, one of the state’s historically significant petroleum deposits.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f3a67c81908ed18480e1cccc29 |
completed | April 29, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f65f9bc8190baf45796ffb12408 |
completed | May 19, 2026, 10:45 a.m. |
Created at: April 17, 2026, 4:10 p.m.