Triple

T10633843
Position Surface form Disambiguated ID Type / Status
Subject Pandro S. Berman E250526 entity
Predicate givenName P17 FINISHED
Object Pandro
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
 E876425 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: Pandro | Statement: [Pandro S. Berman, givenName, Pandro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pandro
Context triple: [Pandro S. Berman, givenName, Pandro]
  • A. Plered
    Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Pandiali
    Pandiali is a town and administrative settlement located in the Mohmand region of northwestern Pakistan.
  • D. Pandi
    Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
  • E. Pandi
    Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
  • 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: Pandro
Triple: [Pandro S. Berman, givenName, Pandro]
Generated description
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pandro
Target entity description: Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
  • A. Plered
    Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
  • B. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • C. Pandiali
    Pandiali is a town and administrative settlement located in the Mohmand region of northwestern Pakistan.
  • D. Pandi
    Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
  • E. Pandi
    Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:02 p.m.