Triple
T15883656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre the Giant Memorial Battle Royal |
E385135
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Cesaro |
E540329
|
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: Cesaro | Statement: [Andre the Giant Memorial Battle Royal, notableWinner, Cesaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cesaro Context triple: [Andre the Giant Memorial Battle Royal, notableWinner, Cesaro]
-
A.
Cesaro
chosen
Cesaro is a Swiss professional wrestler known for his exceptional strength, technical skill, and tag team success in WWE.
-
B.
Casi
Casi is the sharp-witted, morally conflicted public defender who serves as the protagonist of the novel and film "Naked Singularity."
-
C.
Cesca
Cesca is a feminine given name, commonly used as a short form of Francesca.
-
D.
Quidam
Quidam is a Cirque du Soleil touring production known for its surreal, introspective narrative and innovative blend of acrobatics, music, and visual artistry.
-
E.
Collazzone
Collazzone is a small medieval hill town in the Umbria region of central Italy, known for its historic architecture and panoramic views over the Tiber Valley.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156186b98819087b80ade6bd71a69 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb043b6d48190bf9a36a3e00403c0 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.