Triple

T1660233
Position Surface form Disambiguated ID Type / Status
Subject Marilyn E35887 entity
Predicate distinctFrom P1612 FINISHED
Object Hewitt
Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
E188670 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: Hewitt | Statement: [Marilyn, distinctFrom, Hewitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hewitt
Context triple: [Marilyn, distinctFrom, Hewitt]
  • A. Murray
    Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • B. Murray
    Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
  • C. Steve Johnson
    Steve Johnson is a former American basketball player best known as a dominant center for Oregon State University in the late 1970s and early 1980s and later an NBA veteran.
  • D. Tom Murray
    Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
  • E. Dwan
    Dwan is the female lead character in the 1976 remake of King Kong, portrayed as the shipwrecked aspiring actress who forms a unique bond with the giant ape.
  • 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: Hewitt
Triple: [Marilyn, distinctFrom, Hewitt]
Generated description
Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hewitt
Target entity description: Hewitt is a surname and given name shared by various notable individuals across fields such as entertainment, sports, and academia.
  • A. Murray
    Murray is a suburban city in the Salt Lake Valley of Utah, known for its central location in the metropolitan area and its mix of residential, commercial, and medical facilities.
  • B. Murray
    Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • C. Murray
    Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
  • D. Steve Johnson
    Steve Johnson is a former American basketball player best known as a dominant center for Oregon State University in the late 1970s and early 1980s and later an NBA veteran.
  • E. Tom Murray
    Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab2a3488190a67c110a70d652c9 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682ab8a08190bdb33d79d5083029 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad6be91e1c8190b3db2ba019e77ee3 completed March 8, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_69ad6d161bd08190a7087d61f2d3a45e completed March 8, 2026, 12:35 p.m.
Created at: March 4, 2026, 7:29 p.m.