Triple
T17887777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkmate |
E447239
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | White Queen |
—
|
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: White Queen | Statement: [Checkmate, hasDivision, White Queen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Queen Context triple: [Checkmate, hasDivision, White Queen]
-
A.
White Queen
chosen
The White Queen is a benevolent but eccentric monarch in Tim Burton's 2010 fantasy film "Alice in Wonderland," portrayed as the graceful sister and foil to the tyrannical Red Queen.
-
B.
The Queen
"The Queen" is one of the love poems by Chilean Nobel laureate Pablo Neruda, included in his influential 1924 collection *Twenty Love Poems and a Song of Despair*.
-
C.
The Queen
The Queen is a 1968 American documentary-style film that offers an inside look at a national drag beauty pageant and early drag ball culture in New York City.
-
D.
The Queen
The Queen is the regal ant monarch and mother of Princess Atta in Pixar's animated film "A Bug's Life."
-
E.
The Queen
The Queen is the regal in-ring persona of WWE superstar Charlotte Flair, emphasizing her dominance and royal stature in professional wrestling.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.