Triple
T14878436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cage & Fish |
E349928
|
entity |
| Predicate | isCentralToCharacterArcOf |
P93589
|
FINISHED |
| Object | Nelle Porter |
E309016
|
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: Nelle Porter | Statement: [Cage & Fish, isCentralToCharacterArcOf, Nelle Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelle Porter Context triple: [Cage & Fish, isCentralToCharacterArcOf, Nelle Porter]
-
A.
Nelle Porter
chosen
Nelle Porter is a sharp, ambitious, and often icy attorney from the television series "Ally McBeal," known for her complex relationships and memorable presence at the law firm Cage & Fish.
-
B.
Ethel Pyle
Ethel Pyle is the daughter of American heiress and socialite Ethel du Pont.
-
C.
Muriel McClure
Muriel McClure was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
D.
Maud Aiken
Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
-
E.
Leslie Brooks
Leslie Brooks was an American film actress of the 1940s best known for her roles in film noir and crime dramas.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bccc26c8190bf571ea7aee0e0f6 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:55 a.m.