Triple

T10602379
Position Surface form Disambiguated ID Type / Status
Subject Logic Theorist E275782 entity
Predicate alsoKnownAs P39 FINISHED
Object LT
LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
 E874571 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: LT | Statement: [Logic Theorist, alsoKnownAs, LT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LT
Context triple: [Logic Theorist, alsoKnownAs, LT]
  • A. LT
    LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
  • B. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • C. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • D. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • E. LM
    LM is the vehicle registration code for the German town of Limburg an der Lahn in the state of Hesse.
  • 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: LT
Triple: [Logic Theorist, alsoKnownAs, LT]
Generated description
LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LT
Target entity description: LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • A. LT
    LT is a mid-level trim designation commonly used by Chevrolet to denote a better-equipped, more comfort- and feature-focused version of its vehicles.
  • B. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • C. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • D. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • E. LM
    LM is the vehicle registration code for the German town of Limburg an der Lahn in the state of Hesse.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d961aaf71881908289244e0a490492 completed April 10, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 8, 2026, 7:31 p.m.