Triple

T20334000
Position Surface form Disambiguated ID Type / Status
Subject The True Meaning E492555 entity
Predicate label P38 FINISHED
Object Landspeed Records E492561 NE FINISHED

How this triple was built (2 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: Landspeed Records | Statement: [The True Meaning, label, Landspeed Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landspeed Records
Context triple: [The True Meaning, label, Landspeed Records]
  • A. Landspeed Records chosen
    Landspeed Records is an independent hip-hop record label known for releasing underground and East Coast rap projects in the late 1990s and early 2000s.
  • B. Bloodhound LSR
    Bloodhound LSR is a British jet- and rocket-powered land speed record car designed to surpass 1,000 mph and break the world land speed record.
  • C. Racetrack Records
    Racetrack Records is a music label founded by American actor and producer Vin Diesel.
  • D. ThrustSSC
    ThrustSSC is a British jet-powered car that became the first land vehicle to officially break the sound barrier, setting a world land speed record in 1997.
  • E. Hennessey
    Hennessey is a surname and variant spelling of Hennessy, which is associated with various individuals and brands, most notably the Hennessy cognac.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e94e2481908898e0a3513e1209 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087079a3888190818fa9e939b2f498 completed May 16, 2026, 1:26 p.m.
Created at: April 16, 2026, 11:23 a.m.