Triple

T11925506
Position Surface form Disambiguated ID Type / Status
Subject Errol Thompson E283771 entity
Predicate alsoKnownAs P39 FINISHED
Object ET
ET is the nickname of Errol Thompson, a notable figure in Jamaican music production and engineering.
E955380 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: ET | Statement: [Errol Thompson, alsoKnownAs, ET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ET
Context triple: [Errol Thompson, alsoKnownAs, ET]
  • A. ET
    ET is the time standard used on the east coast of North America, including major cities like New York and Toronto, switching between Eastern Standard Time (EST) and Eastern Daylight Time (EDT) seasonally.
  • B. ET
    ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
  • C. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • D. ERT
    ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
  • E. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • 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: ET
Triple: [Errol Thompson, alsoKnownAs, ET]
Generated description
ET is the nickname of Errol Thompson, a notable figure in Jamaican music production and engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ET
Target entity description: ET is the nickname of Errol Thompson, a notable figure in Jamaican music production and engineering.
  • A. ET
    ET is the time standard used on the east coast of North America, including major cities like New York and Toronto, switching between Eastern Standard Time (EST) and Eastern Daylight Time (EDT) seasonally.
  • B. ET
    ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
  • C. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • D. ERT
    ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
  • E. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e3ff308190851ce656286bc67e completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440525e9881909b21df139d97d986 completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fb898081908a8ffd0da703c0f9 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44b9e662881908549e041f6a05e38 completed May 1, 2026, 6:43 a.m.
Created at: April 8, 2026, 9:45 p.m.