Triple

T10514034
Position Surface form Disambiguated ID Type / Status
Subject Outstanding British Contribution to Television E247985 entity
Predicate shortName P43 FINISHED
Object OBCT
OBCT is the abbreviation for the Outstanding British Contribution to Television award, a special honor presented at the British Academy Television Awards.
 E869169 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: OBCT | Statement: [Outstanding British Contribution to Television, shortName, OBCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OBCT
Context triple: [Outstanding British Contribution to Television, shortName, OBCT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • C. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • 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: OBCT
Triple: [Outstanding British Contribution to Television, shortName, OBCT]
Generated description
OBCT is the abbreviation for the Outstanding British Contribution to Television award, a special honor presented at the British Academy Television Awards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OBCT
Target entity description: OBCT is the abbreviation for the Outstanding British Contribution to Television award, a special honor presented at the British Academy Television Awards.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • C. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • D. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • E. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90df141488190a2674546aa437de8 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107c75108190994939ab46aa642f completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d9154c922c81909991f87f89c083cd completed April 10, 2026, 3:20 p.m.
Created at: April 6, 2026, 12:27 p.m.