Triple

T12267296
Position Surface form Disambiguated ID Type / Status
Subject Judy Woodruff E292379 entity
Predicate givenName P17 FINISHED
Object Judy
Judy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Judith.
 E996192 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: Judy | Statement: [Judy Woodruff, givenName, Judy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Judy
Context triple: [Judy Woodruff, givenName, Judy]
  • A. Judy
    "Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
  • B. Judy
    Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
  • C. Judy
    Judy is a central teenage character in the film "Rebel Without a Cause," known for her complex relationship with her parents and her emotional bond with Jim Stark.
  • D. Judy
    "Judy" is a multimedia artwork by American contemporary artist Tony Oursler, known for its experimental use of video projection and sculptural elements to explore psychological and technological themes.
  • E. Judy
    Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
  • 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: Judy
Triple: [Judy Woodruff, givenName, Judy]
Generated description
Judy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Judith.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Judy
Target entity description: Judy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Judith.
  • A. Judy
    Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
  • B. Judy
    Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
  • C. Judy
    Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
  • D. Judy
    "Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
  • E. Judy
    Judy is a central teenage character in the film "Rebel Without a Cause," known for her complex relationship with her parents and her emotional bond with Jim Stark.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdd7b3c8190afd237cd9b633d4d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 8, 2026, 9:52 p.m.