Triple

T1835683
Position Surface form Disambiguated ID Type / Status
Subject Joan Templeman E41060 entity
Predicate familyName P18 FINISHED
Object Templeman
Templeman is an English-language surname borne by various notable individuals across fields such as music, sports, and public life.
 E205196 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: Templeman | Statement: [Joan Templeman, familyName, Templeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Templeman
Context triple: [Joan Templeman, familyName, Templeman]
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. Alan Tilvern
    Alan Tilvern was a British character actor known for his tough-guy roles in film and television, including a notable appearance in the live-action/animated film "Who Framed Roger Rabbit."
  • C. John Stonehouse
    John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
  • D. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • E. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • 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: Templeman
Triple: [Joan Templeman, familyName, Templeman]
Generated description
Templeman is an English-language surname borne by various notable individuals across fields such as music, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Templeman
Target entity description: Templeman is an English-language surname borne by various notable individuals across fields such as music, sports, and public life.
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. Alan Tilvern
    Alan Tilvern was a British character actor known for his tough-guy roles in film and television, including a notable appearance in the live-action/animated film "Who Framed Roger Rabbit."
  • C. John Stonehouse
    John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
  • D. Mervin
    Mervin is a masculine given name of English origin, often used as a variant of Marvin or Mervyn.
  • E. Roland Caulder
    Roland Caulder is an actor known for his role in the film "The Iron Mask."
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.