Triple
T7372619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Coogan |
E170045
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coogan |
E343725
|
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: Coogan | Statement: [Jackie Coogan, familyName, Coogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coogan Context triple: [Jackie Coogan, familyName, Coogan]
-
A.
Coogan
chosen
Coogan is a surname most prominently associated with English actor, comedian, and writer Steve Coogan.
-
B.
Gambon
Gambon is the surname of Sir Michael Gambon, the acclaimed Irish-English actor best known for portraying Albus Dumbledore in the Harry Potter film series.
-
C.
Cagney
Cagney is a surname most famously associated with American actor James Cagney, a major Hollywood star of the 20th century.
-
D.
Pat Connaughton
Pat Connaughton is an American professional basketball player and former two-sport standout at Notre Dame who has played as a guard/forward in the NBA, notably for the Milwaukee Bucks.
-
E.
Colman
Colman is the given name of American actor, writer, and director Colman Domingo, known for his work in film, television, and theater.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802caa9988190bdc0ed5d5dd15979 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.