Triple

T37105640
Position Surface form Disambiguated ID Type / Status
Subject HD 245409 E918832 entity
Predicate hasHumanInterest P187478 FINISHED
Object potential recipient of interstellar message 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: potential recipient of interstellar message | Statement: [HD 245409, hasHumanInterest, potential recipient of interstellar message]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHumanInterest
Context triple: [HD 245409, hasHumanInterest, potential recipient of interstellar message]
  • A. hasInterestType
    Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
  • B. hasVisitorInterest
    Indicates that an entity has a particular interest, preference, or attraction toward visiting another entity or location.
  • C. interestMayBe
    Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
  • D. isHumanOfInterest
    Indicates that the person is considered noteworthy, relevant, or significant within a particular context or analysis.
  • E. publicInterestStatus
    Indicates that something has been evaluated or designated in terms of its relevance, importance, or impact to the general public or society at large.
  • F. None of above. chosen

Provenance (4 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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55de3b9c8190a7656aeab3c3ffbc completed May 6, 2026, 2:53 p.m.
PD Predicate disambiguation batch_69fb35bc92e08190bff447624e2df791 completed May 6, 2026, 12:36 p.m.
PDg Predicate description generation batch_69fb55dc36d08190a0634fa680e13114 completed May 6, 2026, 2:53 p.m.
Created at: May 3, 2026, 4:14 p.m.