Triple
T18595029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Periclymenus |
E454471
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Pero |
—
|
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: Pero | Statement: [Periclymenus, sibling, Pero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pero Context triple: [Periclymenus, sibling, Pero]
-
A.
Pero
chosen
Pero is a common South Slavic diminutive form of the male given name Petar (Peter).
-
B.
Pero
Pero is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to major trade fair and exhibition centers.
-
C.
Pero
Pero is a West Chadic language spoken in parts of Nigeria.
-
D.
Peca
Peca is the surname of Michael Peca, a former professional ice hockey player and two-time Selke Trophy–winning center in the NHL.
-
E.
Piojó
Piojó is a small municipality and town in northern Colombia, located in the Caribbean region within the department of Atlántico.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b8d76881909db1539c7150befb |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.