Triple
T5736475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walton Goggins |
E126514
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nadia Conners
Nadia Conners is an American filmmaker and writer known for her work on socially and environmentally focused documentaries.
|
E581344
|
NE FINISHED |
How this triple was built (4 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.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
-
B.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
C.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
D.
Nadia Bowers
Nadia Bowers is an American actress known for her work on stage and screen, including roles in television series and New York theatre productions.
-
E.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nadia Conners Triple: [Walton Goggins, spouse, Nadia Conners]
Generated description
Nadia Conners is an American filmmaker and writer known for her work on socially and environmentally focused documentaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nadia Conners Target entity description: Nadia Conners is an American filmmaker and writer known for her work on socially and environmentally focused documentaries.
-
A.
Lindsay Edgecomb
Lindsay Edgecomb is a popular high school student and the protagonist’s best friend in the teen drama film "Before I Fall."
-
B.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
C.
Nicole Parker
Nicole Parker is an American actress and comedian best known for her sketch work on MADtv and roles in parody films.
-
D.
Nadia Bowers
Nadia Bowers is an American actress known for her work on stage and screen, including roles in television series and New York theatre productions.
-
E.
Kyla Deaver
Kyla Deaver is an American child actress best known for her role in the horror film "The Conjuring."
- F. None of above. chosen
Provenance (5 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255ad6f48190977bf4f037110aa3 |
completed | March 22, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51892bb648190987b9626ef7ea4d9 |
completed | March 26, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69c51decdb488190b102a8b055af8c3b |
completed | March 26, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51e6d1d488190a8d3a5c2f6e8eb6c |
completed | March 26, 2026, 11:54 a.m. |
Created at: March 22, 2026, 3:47 p.m.