Triple

T7094951
Position Surface form Disambiguated ID Type / Status
Subject Larry Johnson E165299 entity
Predicate nickname P55 FINISHED
Object LJ
LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
 E642339 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: LJ | Statement: [Larry Johnson, nickname, LJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LJ
Context triple: [Larry Johnson, nickname, LJ]
  • A. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • B. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • C. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • D. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • E. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • 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: LJ
Triple: [Larry Johnson, nickname, LJ]
Generated description
LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LJ
Target entity description: LJ is the nickname of Larry Johnson, a former NBA All-Star forward best known for his time with the Charlotte Hornets and New York Knicks in the 1990s.
  • A. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • B. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • C. JL
    JL is the IATA airline designator used for Japan Airlines, the flag carrier of Japan.
  • D. JLJ
    JLJ is the ICAO airline designator assigned to the Japanese regional carrier J-Air.
  • E. LAJ
    LAJ is the station code for La Junta station, an Amtrak railroad stop in La Junta, Colorado, serving long-distance passenger trains.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5530f2081908ac969ddfa7e9b5a completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c9adce081908b571c64e5d8222f completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79dab5690819094f6d8ad49e6eec5 completed March 28, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69c79e12a40c8190b21128e17c3e212e completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:41 p.m.