Triple
T878126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Kemp |
E18967
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
|
E233233
|
NE FINISHED |
How this triple was built (4 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.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
B.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
C.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
D.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
-
E.
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lauren Barber Triple: [Gary Kemp, spouse, Lauren Barber]
Generated description
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Barber Target entity description: Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
A.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
B.
Lindsay Brunnock
Lindsay Brunnock is a British art director known for her work in film and television and for being married to actor and director Kenneth Branagh.
-
C.
Kirsten Corley
Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
-
D.
Lauren Cox
Lauren Cox is an American basketball player best known as a standout forward for Baylor University, where she helped lead the Lady Bears to an NCAA championship.
-
E.
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
- F. None of above. chosen
Provenance (5 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb1dc20819095b9bb093158b60d |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3032c1588190bae02f0e2152c6f1 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f6b7c4819080cb7cb7adc1f6d3 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31849d7c8190a4e3c90334bf21a5 |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 1, 2026, 7:39 p.m.