Triple

T3470450
Position Surface form Disambiguated ID Type / Status
Subject Ray Rennahan E73244 entity
Predicate familyName P18 FINISHED
Object Rennahan
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
 E360950 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: Rennahan | Statement: [Ray Rennahan, familyName, Rennahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rennahan
Context triple: [Ray Rennahan, familyName, Rennahan]
  • A. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • B. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • C. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • D. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • E. Arliss
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • 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: Rennahan
Triple: [Ray Rennahan, familyName, Rennahan]
Generated description
Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rennahan
Target entity description: Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • A. Rilland
    Rilland is a village in the Dutch province of Zeeland, located on the island of Zuid-Beveland.
  • B. Rougham
    Rougham is a village and civil parish in the English county of Suffolk, known for its rural character and historic church.
  • C. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • D. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • E. Arliss
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb392f6481908b6ad0457b8cf421 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680dd2c48190a06c5c320a06a71a completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b36937ac4481909e1c90912b70e886 completed March 13, 2026, 1:32 a.m.
NED2 Entity disambiguation (via description) batch_69b36997650c8190be5e9c78b5174187 completed March 13, 2026, 1:34 a.m.
Created at: March 8, 2026, 3:17 p.m.