Triple

T22101101
Position Surface form Disambiguated ID Type / Status
Subject Hue and Cry E546172 entity
Predicate starred P5563 FINISHED
Object Gerald Rex
Gerald Rex is an actor best known for his role in the film "Hue and Cry," one of the early British Ealing Studios comedies.
 E1519284 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: Gerald Rex | Statement: [Hue and Cry, starred, Gerald Rex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerald Rex
Context triple: [Hue and Cry, starred, Gerald Rex]
  • A. Gerald Martin
    Gerald Martin is a person known primarily in relation to Andrew Martin, likely as a family member or close associate.
  • B. Gerald Crich
    Gerald Crich is a wealthy, conflicted industrialist and one of the central male characters in D. H. Lawrence’s novel "Women in Love."
  • C. Gerald Walker
    Gerald Walker was an American journalist and novelist best known for his crime novel "Cruising," which was later adapted into a controversial film.
  • D. Gerald Austin
    Gerald Austin is a former National Football League official best known for serving as the referee in multiple Super Bowls, including Super Bowl XXXV.
  • E. Gerald Thomas
    Gerald Thomas was a British film director best known for helming the long-running and hugely popular "Carry On" comedy film series.
  • 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: Gerald Rex
Triple: [Hue and Cry, starred, Gerald Rex]
Generated description
Gerald Rex is an actor best known for his role in the film "Hue and Cry," one of the early British Ealing Studios comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerald Rex
Target entity description: Gerald Rex is an actor best known for his role in the film "Hue and Cry," one of the early British Ealing Studios comedies.
  • A. Gerald Martin
    Gerald Martin is a person known primarily in relation to Andrew Martin, likely as a family member or close associate.
  • B. Gerald Crich
    Gerald Crich is a wealthy, conflicted industrialist and one of the central male characters in D. H. Lawrence’s novel "Women in Love."
  • C. Gerald Walker
    Gerald Walker was an American journalist and novelist best known for his crime novel "Cruising," which was later adapted into a controversial film.
  • D. Gerald Austin
    Gerald Austin is a former National Football League official best known for serving as the referee in multiple Super Bowls, including Super Bowl XXXV.
  • E. Gerald Thomas
    Gerald Thomas was a British film director best known for helming the long-running and hugely popular "Carry On" comedy film series.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f158e108190a7826dc302d6cfc0 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a9122a5cc819098a05257cf9f924b completed May 18, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0a91ac74548190ba28ff03a5fb6871 completed May 18, 2026, 4:12 a.m.
Created at: April 16, 2026, 8:30 p.m.