Triple
T11121285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin McGibbon |
E263021
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Margo Barker McGibbon
Margo Barker McGibbon is a private individual known primarily as a relative of Kevin McGibbon.
|
E921091
|
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: Margo Barker McGibbon | Statement: [Kevin McGibbon, hasRelative, Margo Barker McGibbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Barker McGibbon Context triple: [Kevin McGibbon, hasRelative, Margo Barker McGibbon]
-
A.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
B.
Margo Gregg
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
-
C.
Betsy Duncan Smith
Betsy Duncan Smith is the wife of British Conservative politician and former party leader Iain Duncan Smith, known for her role as a political spouse and supporter within UK Conservative circles.
-
D.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
-
E.
Margaret Sexton
Margaret Sexton was the wife of U.S. Navy Rear Admiral William Thomas Sampson, a prominent figure in the Spanish–American War.
- 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: Margo Barker McGibbon Triple: [Kevin McGibbon, hasRelative, Margo Barker McGibbon]
Generated description
Margo Barker McGibbon is a private individual known primarily as a relative of Kevin McGibbon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margo Barker McGibbon Target entity description: Margo Barker McGibbon is a private individual known primarily as a relative of Kevin McGibbon.
-
A.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
B.
Margo Gregg
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
-
C.
Betsy Duncan Smith
Betsy Duncan Smith is the wife of British Conservative politician and former party leader Iain Duncan Smith, known for her role as a political spouse and supporter within UK Conservative circles.
-
D.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
-
E.
Margaret Sexton
Margaret Sexton was the wife of U.S. Navy Rear Admiral William Thomas Sampson, a prominent figure in the Spanish–American War.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af911b881908168f23a4918231c |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5562a0f54819095360368672d2e96 |
completed | April 19, 2026, 10:24 p.m. |
| NEDg | Description generation | batch_69e562bb085c8190942766d12d838798 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e569f0e6948190b285ca84aca03771 |
completed | April 19, 2026, 11:49 p.m. |
Created at: April 8, 2026, 9:28 p.m.