Triple

T7135502
Position Surface form Disambiguated ID Type / Status
Subject Alan J. Pakula E166296 entity
Predicate familyName P18 FINISHED
Object Pakula
Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
 E644444 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: Pakula | Statement: [Alan J. Pakula, familyName, Pakula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pakula
Context triple: [Alan J. Pakula, familyName, Pakula]
  • A. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • B. Baran
    Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
  • C. Baran
    Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
  • D. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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: Pakula
Triple: [Alan J. Pakula, familyName, Pakula]
Generated description
Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pakula
Target entity description: Pakula is a surname most notably associated with Alan J. Pakula, the acclaimed American film director, producer, and screenwriter known for works like "All the President's Men."
  • A. Palicki
    Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • B. Baran
    Baran is a city in the Hadoti region of Rajasthan, India, known for its historical temples, forts, and proximity to natural attractions like waterfalls and wildlife sanctuaries.
  • C. Baran
    Baran is a surname most notably associated with Paul Baran, a pioneering engineer of packet-switched networks and early internet technology.
  • D. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e690f954819084b81a555f4cdb5e completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a348a748819082f87039ea79f251 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45e81bc8190bf4c47e3bb5fe077 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4f074708190a5ce0a863ffd4f25 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:45 p.m.