Triple

T30924255
Position Surface form Disambiguated ID Type / Status
Subject Ha Mim E787813 entity
Predicate hasSecondLetterName P178779 FINISHED
Object Mim LITERAL 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: Mim | Statement: [Ha Mim, hasSecondLetterName, Mim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecondLetterName
Context triple: [Ha Mim, hasSecondLetterName, Mim]
  • A. isSecondOfName
    Indicates that an entity is the second individual to bear a particular name within a given context or sequence.
  • B. hasLetterName chosen
    Indicates that an entity is associated with a specific letter used as its name or designation.
  • C. hasSecondSunName
    Indicates that an entity has a secondary or alternative name specifically associated with a sun or solar object.
  • D. secondLetterMatches
    Indicates that the second character of one string or sequence is the same as the second character of another string or sequence.
  • E. hasSeptSurname
    Indicates that an entity bears a surname associated with a particular sept (a family subgroup or clan division).
  • F. None of above.

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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fecb4d02f881909a9ee97ce98000d5 completed May 9, 2026, 5:51 a.m.
PD Predicate disambiguation batch_69fec9846c1c8190b317f0711f0755db completed May 9, 2026, 5:43 a.m.
Created at: April 29, 2026, 8:51 p.m.