Triple

T3266700
Position Surface form Disambiguated ID Type / Status
Subject Channel 4 E68543 entity
Predicate hasService P182 FINISHED
Object 4seven
4seven is a British television channel that broadcasts repeats and highlights of recent Channel 4 programming.
 E342495 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: 4seven | Statement: [Channel 4, hasService, 4seven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 4seven
Context triple: [Channel 4, hasService, 4seven]
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. No7
    No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
  • C. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • D. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • E. S7
    S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
  • 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: 4seven
Triple: [Channel 4, hasService, 4seven]
Generated description
4seven is a British television channel that broadcasts repeats and highlights of recent Channel 4 programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 4seven
Target entity description: 4seven is a British television channel that broadcasts repeats and highlights of recent Channel 4 programming.
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. No7
    No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
  • C. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • D. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • E. S7
    S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafce46dc8190a157e4f5012baed5 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ef261ec819091c62620765e2cef completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28f9e12488190b93355b783300264 completed March 12, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69b2c092063481909982dea3f71c00c1 completed March 12, 2026, 1:33 p.m.
Created at: March 8, 2026, 3:09 p.m.