Triple

T36942792
Position Surface form Disambiguated ID Type / Status
Subject Melanie Reeve E913817 entity
Predicate hasLongTermPartnershipWith P174520 FINISHED
Object Matt Reeves NE NERFINISHED

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: Matt Reeves | Statement: [Melanie Reeve, hasLongTermPartnershipWith, Matt Reeves]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLongTermPartnershipWith
Context triple: [Melanie Reeve, hasLongTermPartnershipWith, Matt Reeves]
  • A. operatesInClosePartnershipWith
    Indicates a collaborative relationship in which two entities work together closely and continuously, coordinating their activities and decisions as near-partners.
  • B. longTermPartner chosen
    Indicates a romantic relationship in which two people are committed partners over an extended period of time without necessarily being married.
  • C. beganStrategicAllianceWith
    Indicates that one entity initiated the formation of a strategic alliance or long-term cooperative partnership with another entity.
  • D. isShortLivedPartnerOf
    Indicates a partnership relationship between two entities that is brief or temporary in duration.
  • E. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • F. None of above.

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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: May 3, 2026, 4:13 p.m.