Triple

T10471111
Position Surface form Disambiguated ID Type / Status
Subject In Fabric E246922 entity
Predicate mainCharacter P1183 FINISHED
Object Babs
Babs is the central protagonist of the work "In Fabric," around whom the film’s eerie and surreal events unfold.
 E865514 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: Babs | Statement: [In Fabric, mainCharacter, Babs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Babs
Context triple: [In Fabric, mainCharacter, Babs]
  • A. Babs
    Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • B. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Mabel
    Mabel is a feminine given name of medieval origin that has been used in various English-speaking cultures.
  • E. Mabel
    Mabel is the principal soprano heroine in Gilbert and Sullivan's comic opera "The Pirates of Penzance," known for her virtuosic coloratura singing and romantic storyline with Frederic.
  • 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: Babs
Triple: [In Fabric, mainCharacter, Babs]
Generated description
Babs is the central protagonist of the work "In Fabric," around whom the film’s eerie and surreal events unfold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Babs
Target entity description: Babs is the central protagonist of the work "In Fabric," around whom the film’s eerie and surreal events unfold.
  • A. Babs
    Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
  • B. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Mabel
    Mabel is the principal soprano heroine in Gilbert and Sullivan's comic opera "The Pirates of Penzance," known for her virtuosic coloratura singing and romantic storyline with Frederic.
  • E. Mabel
    Mabel is a feminine given name of medieval origin that has been used in various English-speaking cultures.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a0094910819094d492c87b31898e completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a45e5a108190ba8e6ba4af858b19 completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8a890c6b081908e57cc74f18d788b completed April 10, 2026, 7:36 a.m.
Created at: April 6, 2026, 12:20 p.m.