Triple
T7759457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue McClanahan |
E175979
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tom Keel |
E631743
|
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: Tom Keel | Statement: [Rue McClanahan, spouse, Tom Keel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Keel Context triple: [Rue McClanahan, spouse, Tom Keel]
-
A.
Tom Keel
chosen
Tom Keel is known primarily as a former husband of American actress Rue McClanahan, famed for her role on the television series "The Golden Girls."
-
B.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
C.
John Veals
John Veals is a ruthless, ultra-wealthy hedge fund manager in Sebastian Faulks’s novel "A Week in December," embodying the excesses and moral ambiguities of high finance in contemporary London.
-
D.
Brian Keenan
Brian Keenan is an Irish writer and former hostage best known for his memoir "An Evil Cradling," which recounts his four-year captivity in Lebanon in the 1980s.
-
E.
John Callaghan
John Callaghan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Callaghan.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7d2be488190bad1026b76fd0cd3 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.