Triple

T8577880
Position Surface form Disambiguated ID Type / Status
Subject Charles Matthau E203092 entity
Predicate notableWork P4 FINISHED
Object Baby-O
Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
 E744155 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: Baby-O | Statement: [Charles Matthau, notableWork, Baby-O]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baby-O
Context triple: [Charles Matthau, notableWork, Baby-O]
  • A. Baby-G
    Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
  • B. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • C. Johnson's Baby
    Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
  • D. Avent
    Avent is the given name of Francis Avent Gumm, better known as the American actress and singer Judy Garland.
  • E. Petit Bé fort
    Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
  • 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: Baby-O
Triple: [Charles Matthau, notableWork, Baby-O]
Generated description
Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baby-O
Target entity description: Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
  • A. Baby-G
    Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
  • B. Gerber
    Gerber is a small unincorporated rural community located in Tehama County in Northern California.
  • C. Johnson's Baby
    Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
  • D. Avent
    Avent is the given name of Francis Avent Gumm, better known as the American actress and singer Judy Garland.
  • E. Petit Bé fort
    Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea989bec81909b8c8b4af7c568ff completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89a5d18c81908a21cf5e5944d6e1 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:22 p.m.