Triple
T6212346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Antonio |
E138899
|
entity |
| Predicate | shortForm |
P43
|
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: [José Antonio, shortForm, Pepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepe Context triple: [José Antonio, shortForm, 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.
Memel
Memel is the former German name for the Baltic port city now known as Klaipėda in Lithuania.
-
E.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628adccc8190b94f5c2c1d5d03f7 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f5cf41c8190b4efb1dc0a4a0e5e |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.