Triple
T8125006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilailuck Teigen |
E189703
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Teigen |
E191240
|
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: Teigen | Statement: [Vilailuck Teigen, familyName, Teigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teigen Context triple: [Vilailuck Teigen, familyName, Teigen]
-
A.
Pepper Teigen
chosen
Pepper Teigen is a Thai-American home cook, cookbook author, and television personality best known as Chrissy Teigen’s mother and for popularizing Thai comfort food in the U.S.
-
B.
Carey Wilson
Carey Wilson was an American screenwriter and film producer active during Hollywood's early studio era, known for his work on numerous MGM and RKO pictures.
-
C.
Casey Wilson
Casey Wilson is an American actress, comedian, and screenwriter best known for her work on "Saturday Night Live" and the sitcom "Happy Endings."
-
D.
Kimball O'Hara
Kimball O'Hara is the orphaned Irish-Indian boy and streetwise spy-in-training who serves as the protagonist of Rudyard Kipling’s novel "Kim."
-
E.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438d3f408190a0367daf0fbca9d2 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9462e0e88190b34333144e0f741c |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:34 p.m.