Triple
T14287725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time Warrior |
E354217
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Alan Bromly
Alan Bromly was a British television director best known for his work on classic series such as Doctor Who.
|
E1091871
|
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: Alan Bromly | Statement: [The Time Warrior, director, Alan Bromly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Bromly Context triple: [The Time Warrior, director, Alan Bromly]
-
A.
John Hollowood
John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
-
B.
Maurice Purley
Maurice Purley is a central character in Mike Leigh’s 1996 British drama film "Secrets & Lies," around whom much of the family tension and emotional revelation revolves.
-
C.
Charles Blundell
Charles Blundell is a machine learning researcher known for his contributions to deep learning and probabilistic modeling, including work on few-shot learning methods.
-
D.
Tony Bancroft
Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
-
E.
John Pearson
John Pearson was a 17th-century English theologian and scholar, best known for his influential work "An Exposition of the Creed" and his prominence within the Church of England.
- 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: Alan Bromly Triple: [The Time Warrior, director, Alan Bromly]
Generated description
Alan Bromly was a British television director best known for his work on classic series such as Doctor Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Bromly Target entity description: Alan Bromly was a British television director best known for his work on classic series such as Doctor Who.
-
A.
John Hollowood
John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
-
B.
Maurice Purley
Maurice Purley is a central character in Mike Leigh’s 1996 British drama film "Secrets & Lies," around whom much of the family tension and emotional revelation revolves.
-
C.
Charles Blundell
Charles Blundell is a machine learning researcher known for his contributions to deep learning and probabilistic modeling, including work on few-shot learning methods.
-
D.
Tony Bancroft
Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
-
E.
John Pearson
John Pearson was a 17th-century English theologian and scholar, best known for his influential work "An Exposition of the Creed" and his prominence within the Church of England.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1e14d4819091c381f96c43c58b |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e6dde6081908a37817e4dd22ecd |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f42ccdc81908399d8f9a2f0da31 |
completed | May 8, 2026, 1:41 a.m. |
Created at: April 10, 2026, 1:11 a.m.