Triple

T17936451
Position Surface form Disambiguated ID Type / Status
Subject Babe (film) E448480 entity
Predicate title P38 FINISHED
Object Babe
Babe is a 1995 family film about a gentle pig who learns to herd sheep and challenges expectations on a rural farm.
E448480 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: Babe | Statement: [Babe (film), title, Babe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babe
Context triple: [Babe (film), title, Babe]
  • A. Babe
    Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
  • B. Babe
    "Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
  • C. Babe
    Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • D. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • E. Babe
    Babe is the nickname of Thomas "Babe" Levy, the fictional graduate student and marathon runner portrayed by Dustin Hoffman in the 1976 thriller film "Marathon Man."
  • 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: Babe
Triple: [Babe (film), title, Babe]
Generated description
Babe is a 1995 family film about a gentle pig who learns to herd sheep and challenges expectations on a rural farm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Babe
Target entity description: Babe is a 1995 family film about a gentle pig who learns to herd sheep and challenges expectations on a rural farm.
  • A. Babe chosen
    Babe is a critically acclaimed 1995 family film that blends live-action and animatronics to tell the story of a pig who aspires to be a sheepdog.
  • B. Babe
    Babe is a character in "The Cher Show," a jukebox musical about the life and career of Cher.
  • C. Babe
    "Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
  • D. Babe
    "Babe" is a 1974 soft rock ballad by the American band Styx, best known as one of their biggest hit singles and a classic of the genre.
  • E. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • F. None of above.

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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad924f6c8190a0d676dfa20c9918 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03379ddb5881909a3aa5ced03647b7 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:21 a.m.