Triple
T13635554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krystal Weedon |
E325838
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Terri Weedon |
E378176
|
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: Terri Weedon | Statement: [Krystal Weedon, hasMother, Terri Weedon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terri Weedon Context triple: [Krystal Weedon, hasMother, Terri Weedon]
-
A.
Terri Weedon
chosen
Terri Weedon is a troubled, working-class mother struggling with addiction and poverty in J.K. Rowling’s novel "The Casual Vacancy."
-
B.
Terri Robinson
Terri Robinson is a songwriter best known for her work on the track "Doin' It."
-
C.
Terri Alden
Terri Alden is a nurse and one of the main female roommates introduced later in the sitcom "Three's Company," known for her sweet but strong-willed personality.
-
D.
Terri Hughes
Terri Hughes is a screenwriter best known for co-writing the 1999 horror-comedy film "Idle Hands."
-
E.
Tina Wilcox
Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aef6fd08190b209a94b9ddd024c |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.