Triple
T38276455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot (2023 revival) |
E1021969
|
entity |
| Predicate | castingBy |
P93827
|
FINISHED |
| Object |
The Telsey Office
The Telsey Office is a prominent New York-based casting agency known for its work on major Broadway productions, films, and television shows.
|
E2263619
|
NE FINISHED |
How this triple was built (3 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: The Telsey Office | Statement: [Camelot (2023 revival), castingBy, The Telsey Office]
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: The Telsey Office Triple: [Camelot (2023 revival), castingBy, The Telsey Office]
Generated description
The Telsey Office is a prominent New York-based casting agency known for its work on major Broadway productions, films, and television shows.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castingBy Context triple: [Camelot (2023 revival), castingBy, The Telsey Office]
-
A.
castBy
Indicates that one entity (typically a role or character) is portrayed or performed by another entity (typically an actor or performer).
-
B.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
C.
castingDirectorOf
chosen
Indicates that a person serves as the casting director responsible for selecting the cast of a particular production or project.
-
D.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
E.
castingNote
Indicates that there is an explanatory note or comment about how a role was cast or performed in a production.
- F. None of above.
Provenance (6 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4193dec1a08190ba6a49811fd6429d |
completed | June 28, 2026, 9:36 p.m. |
| NEDg | Description generation | batch_6a419562557c81909280edd7d755f959 |
completed | June 28, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4195c696f8819096e040b28883213b |
completed | June 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.