Triple
T3051738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History Boys (Broadway production) |
E83584
|
entity |
| Predicate | lightingDesigner |
P25110
|
FINISHED |
| Object |
Mark Henderson
Mark Henderson is a British lighting designer renowned for his work in theatre, including numerous acclaimed West End and Broadway productions.
|
E359625
|
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: Mark Henderson | Statement: [The History Boys (Broadway production), lightingDesigner, Mark Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Henderson Context triple: [The History Boys (Broadway production), lightingDesigner, Mark Henderson]
-
A.
Mark Hill
Mark Hill is a Canadian entrepreneur best known as one of the founders of the low-cost airline WestJet.
-
B.
Mark Stott
Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
-
C.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
D.
John Brett
John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
-
E.
Brian Wilkins
Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
- 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: Mark Henderson Triple: [The History Boys (Broadway production), lightingDesigner, Mark Henderson]
Generated description
Mark Henderson is a British lighting designer renowned for his work in theatre, including numerous acclaimed West End and Broadway productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Henderson Target entity description: Mark Henderson is a British lighting designer renowned for his work in theatre, including numerous acclaimed West End and Broadway productions.
-
A.
Mark Hill
Mark Hill is a Canadian entrepreneur best known as one of the founders of the low-cost airline WestJet.
-
B.
Mark Stott
Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
-
C.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
D.
John Brett
John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
-
E.
Brian Wilkins
Brian Wilkins is a television producer best known for serving as an executive producer on the series "Hand of God."
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bf274f88190a759f9ce3da47c35 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360881c9081909cb4c5e7b93d7b78 |
completed | March 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_69b3614702348190bd35c37d2059312f |
completed | March 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362451b848190a2fe80a17ab8f9c3 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:01 p.m.