Triple

T984849
Position Surface form Disambiguated ID Type / Status
Subject Green Room E21255 entity
Predicate distributor P1951 FINISHED
Object A24
A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
 E115987 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: A24 | Statement: [Green Room, distributor, A24]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A24
Context triple: [Green Room, distributor, A24]
  • A. A24
    A24 is a major road designation used in several countries, typically referring to important regional or intercity routes.
  • B. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • C. A44
    A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
  • D. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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: A24
Triple: [Green Room, distributor, A24]
Generated description
A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A24
Target entity description: A24 is an independent entertainment company known for producing and distributing critically acclaimed and distinctive films and television series.
  • A. A24
    A24 is a major road designation used in several countries, typically referring to important regional or intercity routes.
  • B. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • C. A44
    A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
  • D. A40
    A40 is a major French motorway, also known as the "Autoroute Blanche," that connects Mâcon to the Mont Blanc region through the Jura and Alps.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce3c6fc81909fbbf04eef1b997e completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac1d45b8cc8190b8b678b697d3f7f1 completed March 7, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac1e2e200881909e9b503655d6f8ab completed March 7, 2026, 12:46 p.m.
Created at: March 1, 2026, 7:41 p.m.