Triple
T22021163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wall |
E543849
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Cena |
—
|
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: John Cena | Statement: [The Wall, starring, John Cena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cena Context triple: [The Wall, starring, John Cena]
-
A.
John Cena
chosen
John Cena is an American professional wrestler, actor, and television host best known as one of WWE’s most popular and decorated superstars.
-
B.
Chris Jericho
Chris Jericho is a renowned professional wrestler, rock musician, and media personality best known for his influential career in major wrestling promotions like WWE and AEW.
-
C.
Kevin Crowley
Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
-
D.
Brock Lesnar
Brock Lesnar is an American professional wrestler and former mixed martial artist best known for his dominant runs as a WWE champion and UFC heavyweight champion.
-
E.
Jeff Hardy
Jeff Hardy is an American professional wrestler known for his high-flying, daredevil style and success in major promotions like WWE as both a singles and tag team competitor.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.