Triple

T14901364
Position Surface form Disambiguated ID Type / Status
Subject Peter Lupus E360010 entity
Predicate familyName P18 FINISHED
Object Lupus E472717 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: Lupus | Statement: [Peter Lupus, familyName, Lupus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupus
Context triple: [Peter Lupus, familyName, Lupus]
  • A. Lupus chosen
    Lupus is a small, faint constellation in the southern sky, traditionally depicted as a wolf or wild animal.
  • B. SLE
    SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
  • C. SLE
    SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
  • D. SLE
    SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
  • E. SLE
    SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded609bf68819099ca3aa3fe1acadc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b30c6881908b80ca96fb5b716f completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.