Triple

T5584539
Position Surface form Disambiguated ID Type / Status
Subject Damien Parer E146721 entity
Predicate familyName P18 FINISHED
Object Parer
Parer is a surname most notably associated with Australian war cinematographer Damien Parer, renowned for his World War II frontline footage.
 E533885 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: Parer | Statement: [Damien Parer, familyName, Parer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parer
Context triple: [Damien Parer, familyName, Parer]
  • A. Perrepa Perrepa
    Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
  • B. Pooncarie
    Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
  • C. Parag
    Parag is a given name most notably associated with Parag Agrawal, the former CEO of Twitter.
  • D. Pencader
    Pencader is a small rural village in Carmarthenshire, Wales, known historically for its role as a local railway junction and its surrounding agricultural landscape.
  • E. Phulparas
    Phulparas is a town in the Madhubani district of Bihar, India, known for its role as a local administrative and market center in the 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: Parer
Triple: [Damien Parer, familyName, Parer]
Generated description
Parer is a surname most notably associated with Australian war cinematographer Damien Parer, renowned for his World War II frontline footage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parer
Target entity description: Parer is a surname most notably associated with Australian war cinematographer Damien Parer, renowned for his World War II frontline footage.
  • A. Perrepa Perrepa
    Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
  • B. Pooncarie
    Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
  • C. Parag
    Parag is a given name most notably associated with Parag Agrawal, the former CEO of Twitter.
  • D. Pencader
    Pencader is a small rural village in Carmarthenshire, Wales, known historically for its role as a local railway junction and its surrounding agricultural landscape.
  • E. Phulparas
    Phulparas is a town in the Madhubani district of Bihar, India, known for its role as a local administrative and market center in the 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02862bd048190b9db0fd3f3562da2 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c03f8b6e948190870b98d6d69193fe completed March 22, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c0404f0a3081908850794f9a5cea40 completed March 22, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:37 p.m.