Triple

T16671285
Position Surface form Disambiguated ID Type / Status
Subject Inside Job E405109 entity
Predicate hasPart P35 FINISHED
Object Annabel
Annabel is a character from the animated conspiracy-comedy series "Inside Job," known for her role in the show's satirical take on shadow governments and secret organizations.
 E1226836 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: Annabel | Statement: [Inside Job, hasPart, Annabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annabel
Context triple: [Inside Job, hasPart, Annabel]
  • A. Annabel
    Annabel is a feminine given name of Latin origin, commonly interpreted to mean "lovable" or "graceful."
  • B. Annabel Bleach
    Annabel Bleach is a musician best known as a member of the Australian indie pop band The Cannanes.
  • C. Annabel Clare Daldry
    Annabel Clare Daldry is the daughter of British theatre and film director Stephen Daldry.
  • D. Maud
    Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
  • E. Maud
    Maud is a small village in Aberdeenshire, Scotland, known historically as a rural railway junction and agricultural center.
  • 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: Annabel
Triple: [Inside Job, hasPart, Annabel]
Generated description
Annabel is a character from the animated conspiracy-comedy series "Inside Job," known for her role in the show's satirical take on shadow governments and secret organizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annabel
Target entity description: Annabel is a character from the animated conspiracy-comedy series "Inside Job," known for her role in the show's satirical take on shadow governments and secret organizations.
  • A. Annabel
    Annabel is a feminine given name of Latin origin, commonly interpreted to mean "lovable" or "graceful."
  • B. Annabel Bleach
    Annabel Bleach is a musician best known as a member of the Australian indie pop band The Cannanes.
  • C. Annabel Clare Daldry
    Annabel Clare Daldry is the daughter of British theatre and film director Stephen Daldry.
  • D. Maud
    Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
  • E. Maud
    Maud is a small village in Aberdeenshire, Scotland, known historically as a rural railway junction and agricultural center.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca175088190a0435422e13278c2 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3692588190a94d349cb63d9749 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008ad087b08190b725382c68687a15 completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b9a8b6481909df37edcecdd292c completed May 10, 2026, 1:43 p.m.
Created at: April 10, 2026, 5:18 a.m.