Triple

T23031454
Position Surface form Disambiguated ID Type / Status
Subject LaDainian Tomlinson E573470 entity
Predicate nickname P55 FINISHED
Object LT
LT is LaDainian Tomlinson, a Hall of Fame NFL running back renowned for his prolific rushing, versatility, and record-setting 2006 MVP season with the San Diego Chargers.
 E1565977 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: [LaDainian Tomlinson, nickname, LT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LT
Context triple: [LaDainian Tomlinson, nickname, LT]
  • A. LT
    LT is the abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • B. 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.
  • C. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • D. .lt
    .lt is the country code top-level domain (ccTLD) assigned to Lithuania for use on the internet.
  • E. TL
    TL is the vehicle registration code used on license plates for vehicles registered in Tulcea County, Romania.
  • 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: [LaDainian Tomlinson, nickname, LT]
Generated description
LT is LaDainian Tomlinson, a Hall of Fame NFL running back renowned for his prolific rushing, versatility, and record-setting 2006 MVP season with the San Diego Chargers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LT
Target entity description: LT is LaDainian Tomlinson, a Hall of Fame NFL running back renowned for his prolific rushing, versatility, and record-setting 2006 MVP season with the San Diego Chargers.
  • 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 abbreviated name for the Logic Theorist, an early computer program that pioneered automated theorem proving in mathematical logic.
  • C. Lt
    Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
  • D. .lt
    .lt is the country code top-level domain (ccTLD) assigned to Lithuania for use on the internet.
  • E. TL
    TL is the vehicle registration code used on license plates for vehicles registered in Tulcea County, Romania.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18481072c81909ab2a2c87e034433 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2b54b888190b1761586d2a2583a completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bf6f8ea048190af15e0494c19c6a1 completed May 19, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0bf76284988190ac4b8f08859aecc6 completed May 19, 2026, 5:38 a.m.
Created at: April 17, 2026, 3:53 p.m.