Triple
T18646552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy (rock opera) |
E455816
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kit Lambert |
—
|
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: Kit Lambert | Statement: [Tommy (rock opera), producer, Kit Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kit Lambert Context triple: [Tommy (rock opera), producer, Kit Lambert]
-
A.
Kit Lambert
chosen
Kit Lambert was a British record producer and manager best known for managing and shaping the career of the rock band The Who in the 1960s.
-
B.
Nicole Lambert
Nicole Lambert is a film producer known for her work on the crime drama prequel "The Many Saints of Newark."
-
C.
Drew Lachey
Drew Lachey is an American singer, actor, and television personality best known as a member of the pop group 98 Degrees and as a champion on "Dancing with the Stars."
-
D.
Lisa Lambert
Lisa Lambert is a Canadian composer and lyricist best known for co-writing the music and lyrics to the Tony Award–winning musical "The Drowsy Chaperone."
-
E.
Lisa Lambert
Lisa Lambert is a fictional character known primarily as the love interest of Jim Harper in their shared narrative.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.