Triple

T16154083
Position Surface form Disambiguated ID Type / Status
Subject Lori McCreary E391989 entity
Predicate notableWork P4 FINISHED
Object Bopha!
Bopha! is a 1993 drama film directed by Morgan Freeman that explores the tensions and injustices of apartheid-era South Africa.
E1197853 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: Bopha! | Statement: [Lori McCreary, notableWork, Bopha!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bopha!
Context triple: [Lori McCreary, notableWork, Bopha!]
  • A. Vossi Bop
    Vossi Bop is a hit grime/rap single by British artist Stormzy, known for its catchy hook, political references, and chart-topping success in the UK.
  • B. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • C. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • 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: Bopha!
Triple: [Lori McCreary, notableWork, Bopha!]
Generated description
Bopha! is a 1993 drama film directed by Morgan Freeman that explores the tensions and injustices of apartheid-era South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bopha!
Target entity description: Bopha! is a 1993 drama film directed by Morgan Freeman that explores the tensions and injustices of apartheid-era South Africa.
  • A. Vossi Bop
    Vossi Bop is a hit grime/rap single by British artist Stormzy, known for its catchy hook, political references, and chart-topping success in the UK.
  • B. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • C. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bugalhos
    Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff90570f0819087c96f33f8f45428 completed May 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fff99aadf081908050c2941c1e5f96 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:01 a.m.