Triple
T8182351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Daly |
E191092
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Cydney Daly |
E191092
|
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: Cydney Daly | Statement: [Chuck Daly, hasChild, Cydney Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cydney Daly Context triple: [Chuck Daly, hasChild, Cydney Daly]
-
A.
Cydney Daly
chosen
Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
-
B.
Meagen Fay
Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
-
C.
Madison Pettis
Madison Pettis is an American actress and model best known for her breakout childhood role in the Disney film "The Game Plan" and subsequent work in television and voice acting.
-
D.
Bailey Moore
Bailey Moore is a local political leader serving as the mayor of Allen, Texas.
-
E.
Haley Fohr
Haley Fohr is an American experimental musician and composer known for her project Circuit des Yeux, marked by her powerful contralto voice and avant-garde, genre-blurring sound.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3489fd8c8190a919aff6e3b3df31 |
completed | April 1, 2026, 3:06 p.m. |
Created at: March 30, 2026, 5:40 p.m.