Triple
T13242709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raw Women’s Championship |
E315319
|
entity |
| Predicate | announcedBy |
P29
|
FINISHED |
| Object | Lita |
E600076
|
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: Lita | Statement: [Raw Women’s Championship, announcedBy, Lita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lita Context triple: [Raw Women’s Championship, announcedBy, Lita]
-
A.
Lita
chosen
Lita is a WWE Hall of Famer and pioneering women's professional wrestler known for her high-flying style and influential role in the evolution of women's wrestling.
-
B.
Lita Milan
Lita Milan is an American actress best known for her film roles in the 1950s, including appearances in Westerns and crime dramas.
-
C.
Lita Grey
Lita Grey was an American actress best known for her early silent-film work and her highly publicized, scandalous marriage to Charlie Chaplin as a teenager.
-
D.
Lita Baron
Lita Baron was a Spanish-born American actress and nightclub singer active in Hollywood films and television during the mid-20th century.
-
E.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d59e84c8190a9e547d0fe26a5f9 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff3438888190b4aecb0b67153ed9 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:23 p.m.