Triple
T342155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamonds |
E6857
|
entity |
| Predicate | setDesigner |
P184
|
FINISHED |
| Object |
Peter Harvey
Peter Harvey is a set designer known for his work on the production "Diamonds."
|
E117282
|
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: Peter Harvey | Statement: [Diamonds, setDesigner, Peter Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Harvey Context triple: [Diamonds, setDesigner, Peter Harvey]
-
A.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
B.
Thomas Bentley
Thomas Bentley was an 18th-century English potter and business partner of Josiah Wedgwood, noted for his role in advancing fine earthenware and industrial ceramics.
-
C.
Stephen Nicol
Stephen Nicol is a former Scottish professional footballer and versatile defender best known for his successful spell at Liverpool FC in the 1980s and early 1990s.
-
D.
Rudulph Evans
Rudulph Evans was an American sculptor best known for creating the statue of Thomas Jefferson housed in the Jefferson Memorial in Washington, D.C.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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: Peter Harvey Triple: [Diamonds, setDesigner, Peter Harvey]
Generated description
Peter Harvey is a set designer known for his work on the production "Diamonds."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Harvey Target entity description: Peter Harvey is a set designer known for his work on the production "Diamonds."
-
A.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
B.
Thomas Bentley
Thomas Bentley was an 18th-century English potter and business partner of Josiah Wedgwood, noted for his role in advancing fine earthenware and industrial ceramics.
-
C.
Stephen Nicol
Stephen Nicol is a former Scottish professional footballer and versatile defender best known for his successful spell at Liverpool FC in the 1980s and early 1990s.
-
D.
Rudulph Evans
Rudulph Evans was an American sculptor best known for creating the statue of Thomas Jefferson housed in the Jefferson Memorial in Washington, D.C.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eafef8c88190a5932eb2c6ac4a5d |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac256a80f08190841759d0f6132e24 |
completed | March 7, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ac2641aee88190985d644563c8f602 |
completed | March 7, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac26e269b081908398530ad3fa23bc |
completed | March 7, 2026, 1:23 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.