Triple
T6613785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Seleção |
E149298
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Pepe |
E149302
|
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: Pepe | Statement: [A Seleção, notablePlayer, Pepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepe Context triple: [A Seleção, notablePlayer, Pepe]
-
A.
Pepe
chosen
Pepe is a Brazilian-born Portuguese central defender renowned for his aggressive, physical style of play and long, trophy-laden career with clubs like Real Madrid and the Portugal national team.
-
B.
Pepa
Pepa is the stage name of Sandra Denton, a rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
-
C.
Pepa
Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
-
D.
Wanchope
Wanchope is a Costa Rican surname best known from former professional footballer and manager Paulo Wanchope, a prominent striker for club and country in the late 1990s and early 2000s.
-
E.
Memel
Memel is the former German name for the Baltic port city now known as Klaipėda in Lithuania.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44154a08190b031bb74624fba1e |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.