Triple

T16097372
Position Surface form Disambiguated ID Type / Status
Subject Entertainment Tonight E390521 entity
Predicate alsoKnownAs P39 FINISHED
Object ET
ET is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
 E1194501 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: [Entertainment Tonight, alsoKnownAs, ET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ET
Context triple: [Entertainment Tonight, alsoKnownAs, ET]
  • A. ET
    ET is the two-letter IATA airline designator assigned to Ethiopian Airlines, the flag carrier of Ethiopia.
  • B. 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.
  • C. ET
    ET is the nickname of Errol Thompson, a notable figure in Jamaican music production and engineering.
  • D. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • E. ERT
    ERT is Greece’s national public broadcasting organization, operating multiple television and radio channels as well as online services.
  • 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: [Entertainment Tonight, alsoKnownAs, ET]
Generated description
ET is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ET
Target entity description: ET is a long-running American entertainment news television program that covers celebrity news, Hollywood events, and the film and television industry.
  • 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. ET
    ET is the nickname of Errol Thompson, a notable figure in Jamaican music production and engineering.
  • D. TE
    TE was the IATA airline designator code used by Tasman Empire Airways Limited, the former international airline of New Zealand.
  • E. ERT
    ERT is Greece’s national public broadcasting organization, operating multiple television and radio channels as well as online services.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec7d0b188190805a471ed3a97eb5 completed May 10, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffed254d8c81909e0d86621c7792cb completed May 10, 2026, 2:27 a.m.
Created at: April 10, 2026, 4:59 a.m.