Triple
T22093413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ata Johnson |
E545963
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Umaga |
—
|
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: Umaga | Statement: [Ata Johnson, relative, Umaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umaga Context triple: [Ata Johnson, relative, Umaga]
-
A.
Umaga
chosen
Umaga was a Samoan-American professional wrestler best known for his dominant, wild-man persona in WWE during the mid-2000s.
-
B.
Kada Umaga
Kada Umaga is a Philippine morning television program aired on Net 25 that features news, talk segments, and lifestyle content.
-
C.
William Regal
William Regal is an English professional wrestling veteran and authority figure renowned for his technical in-ring style, influential training of younger wrestlers, and prominent roles in WWE.
-
D.
Lex Luger
Lex Luger is an American record producer known for pioneering the bombastic, hard-hitting trap sound that shaped early 2010s hip-hop.
-
E.
Lex Luger
Lex Luger is an American former professional wrestler best known for his time in WCW and WWE during the 1990s, where he was a multiple-time champion and a prominent main-event star.
- 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_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.