Triple
T6377023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevan |
E143491
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object |
ap Ifan
ap Ifan is a Welsh patronymic surname indicating "son of Ifan" (a Welsh form of John), reflecting traditional Welsh naming conventions.
|
E587657
|
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: ap Ifan | Statement: [Bevan, derivedFrom, ap Ifan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ap Ifan Context triple: [Bevan, derivedFrom, ap Ifan]
-
A.
Raghu Rajkumar
Raghu Rajkumar is a robotics and autonomous systems researcher known for his involvement with Carnegie Mellon University's Tartan Racing self-driving car team.
-
B.
Om Puri
Om Puri was a renowned Indian actor celebrated for his powerful performances in both parallel and mainstream cinema, as well as notable roles in international films.
-
C.
Minghella
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
-
D.
Satyajit
Satyajit is an Indian given name commonly used for males, often associated with cultural and artistic figures.
-
E.
Bhanu Athaiya
Bhanu Athaiya was an acclaimed Indian costume designer and the first Indian to win an Academy Award, renowned for her work in both Indian and international cinema.
- 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: ap Ifan Triple: [Bevan, derivedFrom, ap Ifan]
Generated description
ap Ifan is a Welsh patronymic surname indicating "son of Ifan" (a Welsh form of John), reflecting traditional Welsh naming conventions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ap Ifan Target entity description: ap Ifan is a Welsh patronymic surname indicating "son of Ifan" (a Welsh form of John), reflecting traditional Welsh naming conventions.
-
A.
Raghu Rajkumar
Raghu Rajkumar is a robotics and autonomous systems researcher known for his involvement with Carnegie Mellon University's Tartan Racing self-driving car team.
-
B.
Om Puri
Om Puri was a renowned Indian actor celebrated for his powerful performances in both parallel and mainstream cinema, as well as notable roles in international films.
-
C.
Minghella
Minghella is the surname of a British family best known for Anthony Minghella, the acclaimed film director and screenwriter behind works such as "The English Patient."
-
D.
Satyajit
Satyajit is an Indian given name commonly used for males, often associated with cultural and artistic figures.
-
E.
Bhanu Athaiya
Bhanu Athaiya was an acclaimed Indian costume designer and the first Indian to win an Academy Award, renowned for her work in both Indian and international cinema.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62dfff4e08190a4491fdef022acb6 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62e7c07a88190a366ff23605cb161 |
completed | March 27, 2026, 7:15 a.m. |
Created at: March 22, 2026, 4:33 p.m.