Triple
T1200953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor X |
E25779
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Richard Towers
Richard Towers is a cinematographer known for his work on the film "Doctor X."
|
E159574
|
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: Richard Towers | Statement: [Doctor X, cinematographyBy, Richard Towers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Towers Context triple: [Doctor X, cinematographyBy, Richard Towers]
-
A.
Richard Greatrex
Richard Greatrex is a British cinematographer best known for his Academy Award-nominated work on the film "Shakespeare in Love."
-
B.
Steven Pemberton
Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
-
C.
Edward Holcroft
Edward Holcroft is a British actor known for his roles in film and television, including appearances in the Kingsman franchise and the series London Spy.
-
D.
Colin St John Wilson
Colin St John Wilson was a British architect and academic best known for designing the main building of the British Library in London.
-
E.
Henry Baker
Henry Baker was an 18th-century English naturalist and microscopist known for his contributions to the study of microscopic organisms and for his role in popularizing science.
- 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: Richard Towers Triple: [Doctor X, cinematographyBy, Richard Towers]
Generated description
Richard Towers is a cinematographer known for his work on the film "Doctor X."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Towers Target entity description: Richard Towers is a cinematographer known for his work on the film "Doctor X."
-
A.
Richard Greatrex
Richard Greatrex is a British cinematographer best known for his Academy Award-nominated work on the film "Shakespeare in Love."
-
B.
Steven Pemberton
Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
-
C.
Edward Holcroft
Edward Holcroft is a British actor known for his roles in film and television, including appearances in the Kingsman franchise and the series London Spy.
-
D.
Colin St John Wilson
Colin St John Wilson was a British architect and academic best known for designing the main building of the British Library in London.
-
E.
Henry Baker
Henry Baker was an 18th-century English naturalist and microscopist known for his contributions to the study of microscopic organisms and for his role in popularizing science.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9ec3488190afe35af54efae5e9 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde099eb88190ac354f3b4efb0965 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acde7990b4819082a1bcb50215d4f1 |
completed | March 8, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acdee2d71481908a735d5685693ca8 |
completed | March 8, 2026, 2:28 a.m. |
Created at: March 1, 2026, 7:46 p.m.