Triple

T13563253
Position Surface form Disambiguated ID Type / Status
Subject Ira S. Haseltine E323963 entity
Predicate familyName P18 FINISHED
Object Haseltine
Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
E1046870 NE FINISHED

How this triple was built (4 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: Haseltine | Statement: [Ira S. Haseltine, familyName, Haseltine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haseltine
Context triple: [Ira S. Haseltine, familyName, Haseltine]
  • A. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • B. Hyntone
    Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
  • C. Gallaher
    Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
  • D. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • E. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Haseltine
Triple: [Ira S. Haseltine, familyName, Haseltine]
Generated description
Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haseltine
Target entity description: Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
  • A. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • B. Hyntone
    Hyntone is a variant or alternative form of the name Hinton, typically used as a surname or place name.
  • C. Gallaher
    Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
  • D. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • E. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • F. None of above. chosen

Provenance (5 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f563cfc81909cde4c403ac10a58 completed May 3, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69f75fcbf9548190abd74bf4f4ae2e11 completed May 3, 2026, 2:46 p.m.
Created at: April 9, 2026, 9:47 p.m.