Triple

T8190198
Position Surface form Disambiguated ID Type / Status
Subject Peter Mullan E191282 entity
Predicate directed P7373 FINISHED
Object Neds
Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
 E718218 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: Neds | Statement: [Peter Mullan, directed, Neds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neds
Context triple: [Peter Mullan, directed, Neds]
  • A. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • B. Nied
    Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
  • C. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • D. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • E. Nadirs
    Nadirs is a semi-autobiographical collection of short stories by Nobel laureate Herta Müller that portrays the harshness and oppression of rural life in Communist Romania.
  • 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: Neds
Triple: [Peter Mullan, directed, Neds]
Generated description
Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neds
Target entity description: Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
  • A. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • B. Nied
    Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
  • C. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • D. Noss
    Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
  • E. Nadirs
    Nadirs is a semi-autobiographical collection of short stories by Nobel laureate Herta Müller that portrays the harshness and oppression of rural life in Communist Romania.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8da28c81909c34c0103da68f0f completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.