Triple
T22090590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyd Crowder |
E545901
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Ava Crowder |
—
|
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: Ava Crowder | Statement: [Boyd Crowder, allyOf, Ava Crowder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ava Crowder Context triple: [Boyd Crowder, allyOf, Ava Crowder]
-
A.
Ava Crowder
chosen
Ava Crowder is a sharp-witted, resilient Kentucky woman deeply entangled in crime and complex relationships in the TV series "Justified."
-
B.
Ava Mullen
Ava Mullen is the daughter of U2 drummer Larry Mullen Jr., making her part of the family of the renowned Irish musician.
-
C.
Angelica McDaniel
Angelica McDaniel is a television executive and producer best known for her leadership roles in daytime programming and development at major U.S. networks.
-
D.
Caitlin Parrish
Caitlin Parrish is an American playwright, television writer, and producer known for her socially conscious storytelling across stage and screen.
-
E.
Tasha McCauley
Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e53dfc81909858cdad8b09c5fb |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.