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.