Triple

T23487831
Position Surface form Disambiguated ID Type / Status
Subject Qohen Leth E570585 entity
Predicate worksFor P5820 FINISHED
Object Mancom
Mancom is the powerful, enigmatic corporation that employs the reclusive programmer Qohen Leth in Terry Gilliam’s science fiction film "The Zero Theorem."
 E1587613 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: Mancom | Statement: [Qohen Leth, worksFor, Mancom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mancom
Context triple: [Qohen Leth, worksFor, Mancom]
  • A. Commeny
    Commeny is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Comnidyne
    Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
  • C. Companiganj
    Companiganj is a town in Bangladesh that serves as the administrative and commercial hub of Companiganj Upazila.
  • D. COMCO
    COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
  • E. Koman
    Koman is a small language family of northeastern Africa whose member languages are spoken primarily in border regions of Ethiopia and Sudan.
  • 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: Mancom
Triple: [Qohen Leth, worksFor, Mancom]
Generated description
Mancom is the powerful, enigmatic corporation that employs the reclusive programmer Qohen Leth in Terry Gilliam’s science fiction film "The Zero Theorem."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mancom
Target entity description: Mancom is the powerful, enigmatic corporation that employs the reclusive programmer Qohen Leth in Terry Gilliam’s science fiction film "The Zero Theorem."
  • A. Commeny
    Commeny is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Comnidyne
    Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
  • C. Companiganj
    Companiganj is a town in Bangladesh that serves as the administrative and commercial hub of Companiganj Upazila.
  • D. COMCO
    COMCO is the Swiss Competition Commission, the federal authority responsible for enforcing antitrust and competition law in Switzerland.
  • E. Koman
    Koman is a small language family of northeastern Africa whose member languages are spoken primarily in border regions of Ethiopia and Sudan.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c826c2cb88190962f0c032cf4d2ec completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6f159488190bcde44676ddce593 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca754878c8190a918fa3b349fd970 completed May 19, 2026, 6:09 p.m.
Created at: April 17, 2026, 6:04 p.m.