Triple

T619377
Position Surface form Disambiguated ID Type / Status
Subject Gaia E14477 entity
Predicate epithet P743 FINISHED
Object All-Mother E77587 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: All-Mother | Statement: [Gaia, epithet, All-Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All-Mother
Context triple: [Gaia, epithet, All-Mother]
  • A. Great Mother chosen
    Great Mother is an epithet of Gaia that emphasizes her role as the primordial earth goddess and universal mother figure in Greek mythology.
  • B. Haggith
    Haggith is a lesser-known wife of King David in the Hebrew Bible and the mother of his son Adonijah.
  • C. Shekhinah
    Shekhinah is the divine feminine presence or indwelling aspect of God in Jewish mysticism, especially central to Kabbalistic thought.
  • D. Alba Madonna
    The Alba Madonna is a renowned early 16th-century circular painting by Raphael depicting the Virgin Mary with the Christ Child and the infant John the Baptist, celebrated as a masterpiece of High Renaissance art.
  • E. Bachelor Mother
    Bachelor Mother is a 1939 romantic comedy film starring Ginger Rogers as a salesgirl who is mistakenly believed to be the mother of an abandoned baby.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e25956c8190a1eed87002548658 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.