Triple

T20453617
Position Surface form Disambiguated ID Type / Status
Subject Boiling Point E501717 entity
Predicate director P255 FINISHED
Object Philip Barantini
Philip Barantini is a British actor-turned-filmmaker best known for directing the intense, single-take restaurant drama film "Boiling Point."
 E1431269 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: Philip Barantini | Statement: [Boiling Point, director, Philip Barantini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip Barantini
Context triple: [Boiling Point, director, Philip Barantini]
  • A. Jero Rai
    Jero Rai is a subgroup of the Rai community, an indigenous ethnic group from the Himalayan region of Nepal.
  • B. Yusuf Ronodipuro
    Yusuf Ronodipuro was a prominent Indonesian radio broadcaster best known for his role in announcing Indonesia’s proclamation of independence in 1945.
  • C. Peter Jatbula
    Peter Jatbula was an Aboriginal Jawoyn elder and land rights activist from Australia, known for his role in securing traditional land claims in the Northern Territory.
  • D. Peter Karadi
    Peter Karadi is an economist known for his research in macroeconomics and monetary policy, including influential work coauthored with Mark Gertler.
  • E. Paul Neesan
    Paul Neesan is a film producer known for his work on the 2006 adaptation of "Charlotte's Web."
  • 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: Philip Barantini
Triple: [Boiling Point, director, Philip Barantini]
Generated description
Philip Barantini is a British actor-turned-filmmaker best known for directing the intense, single-take restaurant drama film "Boiling Point."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philip Barantini
Target entity description: Philip Barantini is a British actor-turned-filmmaker best known for directing the intense, single-take restaurant drama film "Boiling Point."
  • A. Jero Rai
    Jero Rai is a subgroup of the Rai community, an indigenous ethnic group from the Himalayan region of Nepal.
  • B. Yusuf Ronodipuro
    Yusuf Ronodipuro was a prominent Indonesian radio broadcaster best known for his role in announcing Indonesia’s proclamation of independence in 1945.
  • C. Peter Jatbula
    Peter Jatbula was an Aboriginal Jawoyn elder and land rights activist from Australia, known for his role in securing traditional land claims in the Northern Territory.
  • D. Peter Karadi
    Peter Karadi is an economist known for his research in macroeconomics and monetary policy, including influential work coauthored with Mark Gertler.
  • E. Paul Neesan
    Paul Neesan is a film producer known for his work on the 2006 adaptation of "Charlotte's Web."
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08840caccc819082423d0dae166082 completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08854ba1bc8190854e106993681272 completed May 16, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0886140858819088f0b09a9903dada completed May 16, 2026, 2:58 p.m.
Created at: April 16, 2026, 11:32 a.m.