Triple

T1000707
Position Surface form Disambiguated ID Type / Status
Subject Antinous E21595 entity
Predicate associatedWith P37 FINISHED
Object Penelope E25049 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: Penelope | Statement: [Antinous, associatedWith, Penelope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope
Context triple: [Antinous, associatedWith, Penelope]
  • A. Penelope
    Penelope is a genus of large, arboreal guans—game birds native to Central and South American forests and belonging to the family Cracidae.
  • B. Penelope chosen
    Penelope is the faithful and resourceful wife of Odysseus in Greek mythology, renowned for her loyalty and cleverness during his long absence in the Odyssey.
  • C. Penelope (nymph)
    Penelope is a nymph in Greek mythology sometimes identified as the mother of the rustic god Pan.
  • D. Penelope Athena Richmond
    Penelope Athena Richmond is the daughter of American comedian, writer, and actress Tina Fey and her husband, composer Jeff Richmond.
  • E. Ariadne
    Ariadne is a figure from Greek mythology, best known as the Cretan princess who helped Theseus defeat the Minotaur and later became associated with the god Dionysus.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fb18b88190ae2d620aaaff4f90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba52ebc819084e3d003a3ec8417 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.