Triple

T16667550
Position Surface form Disambiguated ID Type / Status
Subject Lucretia Coffin E405020 entity
Predicate familyName P18 FINISHED
Object Coffin E515370 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: Coffin | Statement: [Lucretia Coffin, familyName, Coffin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffin
Context triple: [Lucretia Coffin, familyName, Coffin]
  • A. Coffin
    "Coffin" is a song by Canadian singer-songwriter Jessie Reyez, known for its raw, emotional lyrics and soulful vocal delivery.
  • B. Coffin chosen
    Coffin is a surname of English origin borne by various notable individuals, including American clergyman and social activist William Sloane Coffin.
  • C. Mortuary
    "Mortuary" is a 2005 American horror film about a family that moves into a decrepit funeral home where they encounter a malevolent supernatural presence.
  • D. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • E. The Grave
    "The Grave" is a significant poetic work by Greek writer Kostis Palamas, reflecting his influential role in the development of modern Greek literature.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9d9fc48190a8156c029668b544 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a34852c81908c00ff8e36923cee completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.