Triple
T23421295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Daley |
E560660
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kevin Daley |
—
|
NE NERFINISHED |
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: Kevin Daley | Statement: [Maggie Daley, relative, Kevin Daley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Daley Context triple: [Maggie Daley, relative, Kevin Daley]
-
A.
Kevin Daley
chosen
Kevin Daley is one of the children of the late Chicago First Lady Maggie Daley and former Mayor Richard M. Daley.
-
B.
Jack Haggerty
Jack Haggerty is a fictional character from the stage musical and film "Best Foot Forward," typically portrayed as a lively high-school student involved in the story’s romantic and comedic mishaps.
-
C.
Roy Sweeney
Roy Sweeney is the central protagonist of the film "Flesh and Bone," around whom the story’s dramatic events and character relationships revolve.
-
D.
Brian Davison
Brian Davison is a former Rhodesian and Zimbabwean cricketer best known as a prolific middle-order batsman who also enjoyed a successful county career with Leicestershire in English domestic cricket.
-
E.
Dewey Dudek
Dewey Dudek is a professional associated with Sammy Bryant, likely working alongside him in the same organization or field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a546c08c8190b57d90e88034eef3 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:46 p.m.