Triple

T9646382
Position Surface form Disambiguated ID Type / Status
Subject Peter Langer E233204 entity
Predicate hasGivenName P17 FINISHED
Object Peter E30437 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: Peter | Statement: [Peter Langer, hasGivenName, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [Peter Langer, hasGivenName, Peter]
  • A. Peter chosen
    Peter is a common male given name of Greek origin, widely used in many languages and cultures, often associated with the meaning "rock" or "stone."
  • B. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • C. Peter
    Peter is a central figure among Jesus’s apostles in the New Testament, traditionally regarded as the leader of the early Christian Church.
  • D. Peter
    Peter is a leading apostle of Jesus in the New Testament, known for his prominent role in the early Christian church and for preaching key messages about Jesus’ resurrection.
  • E. Peter
    Peter is one of the two central characters in Edward Albee’s one-act play "The Zoo Story," portrayed as a reserved, middle-class man whose encounter with the volatile Jerry leads to a tense and existential confrontation.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.