Triple
T9647302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Kemp |
E233233
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lauren Barber |
E233233
|
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: Lauren Barber | Statement: [Gary Kemp, spouse, Lauren Barber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Barber Context triple: [Gary Kemp, spouse, Lauren Barber]
-
A.
Lauren Barber
chosen
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
B.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
C.
Lauren Chapin
Lauren Chapin is an American former child actress best known for playing youngest daughter Kathy Anderson on the classic television sitcom "Father Knows Best."
-
D.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
E.
Lauren Baker
Lauren Baker is an American nonprofit leader and public figure who served as First Lady of Massachusetts during Charlie Baker’s governorship.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b826ff08190a972bdef84405f08 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eab6ae348190b1ff4eb10081c5a0 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:13 p.m.