Triple

T17316677
Position Surface form Disambiguated ID Type / Status
Subject Harland Williams E420444 entity
Predicate givenName P17 FINISHED
Object Harland E427715 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: Harland | Statement: [Harland Williams, givenName, Harland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harland
Context triple: [Harland Williams, givenName, Harland]
  • A. Harland chosen
    Harland is a surname of English and Irish origin borne by various notable individuals, including shipbuilder Edward James Harland.
  • B. Pirrie
    Pirrie is a surname most notably associated with William Pirrie, 1st Viscount Pirrie, a prominent Irish shipbuilder and businessman involved with Harland and Wolff and the construction of the RMS Titanic.
  • C. Leamouth
    Leamouth is a riverside district in East London where the River Lea meets the River Thames, known for its former industrial docks and recent waterside redevelopment.
  • D. Stanwix Melville
    Stanwix Melville was the son of American novelist Herman Melville, remembered primarily through family correspondence and biographical accounts of the Melville family.
  • E. Horsburgh
    Horsburgh is a Scottish surname borne by various notable individuals, including the actress Janet Munro.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399d2fcc81909916302f141e236b completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4603f88190a713bf8260329ac3 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.