Triple
T8515962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peacemaker |
E201571
|
entity |
| Predicate | teamAffiliation |
P3753
|
FINISHED |
| Object | Checkmate |
E447239
|
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: Checkmate | Statement: [Peacemaker, teamAffiliation, Checkmate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Checkmate Context triple: [Peacemaker, teamAffiliation, Checkmate]
-
A.
Checkmate
chosen
Checkmate is a covert intelligence and black-ops agency in the DC Universe that operates through a chess-themed hierarchy to manage metahuman and global security threats.
-
B.
Le Mat
Le Mat is a surname most notably associated with American actor Paul Le Mat, known for his role in the film "American Graffiti."
-
C.
Stalemate II
Stalemate II was the codename for a World War II Allied military operation in the Pacific theater.
-
D.
Knight’s Gambit
"Knight’s Gambit" is a collection of detective stories by William Faulkner featuring lawyer Gavin Stevens and set in the fictional Yoknapatawpha County.
-
E.
Kráľová dam
Kráľová dam is a major hydroelectric and water-management reservoir on the Váh River in Slovakia, used for power generation, flood control, and irrigation.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60f37b0819082ae14e539f57b56 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e5dbb3c81909157e6b04a4956af |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:15 p.m.