Triple

T2854953
Position Surface form Disambiguated ID Type / Status
Subject Wise Blood E63177 entity
Predicate protagonist P268 FINISHED
Object Hazel Motes E305343 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: Hazel Motes | Statement: [Wise Blood, protagonist, Hazel Motes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazel Motes
Context triple: [Wise Blood, protagonist, Hazel Motes]
  • A. Hazel Motes chosen
    Hazel Motes is the tormented, anti-religious preacher at the center of Flannery O’Connor’s novel "Wise Blood," known for founding the nihilistic Church Without Christ.
  • B. Oedipa Maas
    Oedipa Maas is the perplexed and increasingly paranoid California housewife who serves as the protagonist of Thomas Pynchon's novella "The Crying of Lot 49," navigating a possible vast underground postal conspiracy.
  • C. Raymond
    Raymond is the furry blue sea-dog mascot of Major League Baseball’s Tampa Bay Rays, known for his playful antics at the team’s home games.
  • D. Raymond
    Raymond is a central character in the Gothic novel "The Monk," known for his romantic entanglements and morally complex actions that drive much of the plot.
  • E. Raymond
    Raymond is the given first name of Teller, the silent half of the famous magician duo Penn & Teller.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03141ec9c8190b8163fdfc00c1ee3 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.