Triple

T17262423
Position Surface form Disambiguated ID Type / Status
Subject Yi people E419038 entity
Predicate historicalName P65 FINISHED
Object Lolo E748953 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: Lolo | Statement: [Yi people, historicalName, Lolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lolo
Context triple: [Yi people, historicalName, Lolo]
  • A. Lolo
    Lolo is the given name of Lolo Soetoro, the Indonesian stepfather of former U.S. President Barack Obama.
  • B. Lolo chosen
    Lolo is an older name for the Yi people, an ethnic minority primarily living in southwestern China with a distinct language and cultural traditions.
  • C. Lolo
    Lolo is a French comedy film directed by and starring Julie Delpy, centered on the chaotic consequences of an overprotective son sabotaging his mother's new relationship.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Altoon
    Altoon is a surname most notably associated with American painter John Altoon, known for his abstract and expressionist works.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e717a348190ae6835fb08f38125 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:40 a.m.