Triple

T7554375
Position Surface form Disambiguated ID Type / Status
Subject The Long Good Friday E178621 entity
Predicate character P662 FINISHED
Object Jeff
Jeff is a supporting gangster character in the British crime film "The Long Good Friday," involved in the criminal underworld surrounding London mob boss Harold Shand.
E673532 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: Jeff | Statement: [The Long Good Friday, character, Jeff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff
Context triple: [The Long Good Friday, character, Jeff]
  • A. Jeff
    Jeff is a masculine given name commonly used in English-speaking countries, often as a short form of Jeffrey or Jefferson.
  • B. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • C. Jay
    Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
  • D. Jay
    Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
  • E. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • 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: Jeff
Triple: [The Long Good Friday, character, Jeff]
Generated description
Jeff is a supporting gangster character in the British crime film "The Long Good Friday," involved in the criminal underworld surrounding London mob boss Harold Shand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff
Target entity description: Jeff is a supporting gangster character in the British crime film "The Long Good Friday," involved in the criminal underworld surrounding London mob boss Harold Shand.
  • A. Jeff
    Jeff is a masculine given name commonly used in English-speaking countries, often as a short form of Jeffrey or Jefferson.
  • B. Jay
    Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
  • C. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • D. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • E. Jay
    Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856be6e1c8190ba292d4d9cf1f37f completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c85765d1f48190b171ff87a15c5b74 completed March 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c8580963748190b81bd7437259da28 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:49 p.m.