Triple
T11121287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin McGibbon |
E263021
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Becky McGibbon
Becky McGibbon is an individual known primarily in relation to Kevin McGibbon, about whom limited public information is available.
|
E906421
|
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: Becky McGibbon | Statement: [Kevin McGibbon, hasRelative, Becky McGibbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becky McGibbon Context triple: [Kevin McGibbon, hasRelative, Becky McGibbon]
-
A.
Becky McIntyre
Becky McIntyre is a fictional character known as the daughter of Trapper John McIntyre from the M*A*S*H television franchise.
-
B.
Becky Johnston
Becky Johnston is an American screenwriter best known for her work on films such as "Seven Years in Tibet" and "The Prince of Tides."
-
C.
Becky Leeman
Becky Leeman is the ambitious, manipulative beauty pageant contestant and primary antagonist in the dark comedy film "Drop Dead Gorgeous."
-
D.
Lauren Beck
Lauren Beck is a film producer best known for her work on the critically acclaimed drama "Manchester by the Sea."
-
E.
Becca Nolan
Becca Nolan is a fictional character portrayed as an American woman, likely featured in a contemporary narrative such as a television series, film, or novel.
- 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: Becky McGibbon Triple: [Kevin McGibbon, hasRelative, Becky McGibbon]
Generated description
Becky McGibbon is an individual known primarily in relation to Kevin McGibbon, about whom limited public information is available.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Becky McGibbon Target entity description: Becky McGibbon is an individual known primarily in relation to Kevin McGibbon, about whom limited public information is available.
-
A.
Becky McIntyre
Becky McIntyre is a fictional character known as the daughter of Trapper John McIntyre from the M*A*S*H television franchise.
-
B.
Becky Johnston
Becky Johnston is an American screenwriter best known for her work on films such as "Seven Years in Tibet" and "The Prince of Tides."
-
C.
Becky Leeman
Becky Leeman is the ambitious, manipulative beauty pageant contestant and primary antagonist in the dark comedy film "Drop Dead Gorgeous."
-
D.
Lauren Beck
Lauren Beck is a film producer best known for her work on the critically acclaimed drama "Manchester by the Sea."
-
E.
Becca Nolan
Becca Nolan is a fictional character portrayed as an American woman, likely featured in a contemporary narrative such as a television series, film, or novel.
- 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_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:28 p.m.