Triple

T3182369
Position Surface form Disambiguated ID Type / Status
Subject Brenda Quagmire E66618 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Jeff (abusive boyfriend) E162857 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: Jeff (abusive boyfriend) | Statement: [Brenda Quagmire, hasRelationshipWith, Jeff (abusive boyfriend)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff (abusive boyfriend)
Context triple: [Brenda Quagmire, hasRelationshipWith, Jeff (abusive boyfriend)]
  • A. Jeff chosen
    Jeff is a masculine given name commonly used in English-speaking countries, often as a short form of Jeffrey or Jefferson.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. David Jeffrey
    David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
  • D. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • E. Justin Ripley
    Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bd07888190b680eace8290d821 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2360079e4819085ee8b6553e3da02 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.