Triple
T889703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Allen |
E19211
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | George Allen |
E19211
|
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: George Allen | Statement: [George Allen, nickname, George Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Allen Context triple: [George Allen, nickname, George Allen]
-
A.
George Allen
chosen
George Allen was a Hall of Fame NFL head coach best known for transforming the Washington franchise into a perennial contender in the 1970s with his defense-first philosophy and veteran-heavy rosters.
-
B.
George Allen
George Allen was a British publisher best known for establishing the influential publishing house George Allen & Unwin.
-
C.
Arthur Gettleman
Arthur Gettleman was the husband of American actress Estelle Getty, best known for her role as Sophia Petrillo on the television series "The Golden Girls."
-
D.
Tom Tucker
Tom Tucker is a fictional, mustachioed news anchor on the animated television series "Family Guy," known for his eccentric on-air persona and deadpan delivery.
-
E.
Tom Dugan
Tom Dugan was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee02a21c819088e6a137ea306efd |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:39 p.m.