Triple

T11340069
Position Surface form Disambiguated ID Type / Status
Subject Pierre Coffin E268572 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: [Pierre Coffin, familyName, Coffin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coffin
Context triple: [Pierre 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. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • D. The Grave
    "The Grave" is a 1961 episode of the anthology television series The Twilight Zone, featuring a tense Western ghost story about a lawman who must confront the vengeful spirit of an outlaw he failed to capture alive.
  • E. The Grave
    The Grave is a long meditative poem by Scottish poet Robert Blair, often cited as a key work of the 18th-century Graveyard school for its somber reflections on death and mortality.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5434f04388190813e8beb1b5af55a completed April 19, 2026, 9:04 p.m.
Created at: April 8, 2026, 9:33 p.m.