Triple
T22090389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walton Goggins |
E545896
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nadia Conners |
—
|
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: Nadia Conners | Statement: [Walton Goggins, spouse, Nadia Conners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadia Conners Context triple: [Walton Goggins, spouse, Nadia Conners]
-
A.
Nadia Conners
chosen
Nadia Conners is an American filmmaker and writer known for her work on socially and environmentally focused documentaries.
-
B.
Molly Conners
Molly Conners is a film producer known for her work on independent and studio-backed movies, including the comedy-drama "Like Father."
-
C.
Tessa Connover
Tessa Connover is the obsessive and manipulative ex-wife who serves as the primary antagonist in the psychological thriller film "Unforgettable" (2017).
-
D.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
-
E.
Nina Feeney
Nina Feeney is a central character on the television drama "Everwood," known as a warm, down-to-earth neighbor and close friend to the Brown family.
- 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.