Triple
T23032569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladhood |
E573502
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Jonathan Schey
Jonathan Schey is a British television director best known for his work on the coming-of-age comedy series "Ladhood."
|
E1566035
|
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: Jonathan Schey | Statement: [Ladhood, director, Jonathan Schey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Schey Context triple: [Ladhood, director, Jonathan Schey]
-
A.
Eric D. Schneider
Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
-
B.
Aaron M. Frey
Aaron M. Frey is an American lawyer and Democratic politician who serves as the chief legal officer for the state of Maine.
-
C.
Michael Engelhart
Michael Engelhart was an architect known for his role in the post-war reconstruction of Vienna’s historic Burgtheater.
-
D.
Eric L. Zinterhofer
Eric L. Zinterhofer is an American private equity investor and media executive known for his leadership roles in the telecommunications and cable industry.
-
E.
David Schmaier
David Schmaier is a technology executive and entrepreneur best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
- 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: Jonathan Schey Triple: [Ladhood, director, Jonathan Schey]
Generated description
Jonathan Schey is a British television director best known for his work on the coming-of-age comedy series "Ladhood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Schey Target entity description: Jonathan Schey is a British television director best known for his work on the coming-of-age comedy series "Ladhood."
-
A.
Eric D. Schneider
Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
-
B.
Aaron M. Frey
Aaron M. Frey is an American lawyer and Democratic politician who serves as the chief legal officer for the state of Maine.
-
C.
Michael Engelhart
Michael Engelhart was an architect known for his role in the post-war reconstruction of Vienna’s historic Burgtheater.
-
D.
Eric L. Zinterhofer
Eric L. Zinterhofer is an American private equity investor and media executive known for his leadership roles in the telecommunications and cable industry.
-
E.
David Schmaier
David Schmaier is a technology executive and entrepreneur best known as a co-founder of Siebel Systems, a pioneering customer relationship management (CRM) software company.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f184822a90819081907d72c76770b0 |
completed | April 29, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2b54b888190b1761586d2a2583a |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf6f8ea048190af15e0494c19c6a1 |
completed | May 19, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf76284988190ac4b8f08859aecc6 |
completed | May 19, 2026, 5:38 a.m. |
Created at: April 17, 2026, 3:53 p.m.