Triple
T13540957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spalding Gray |
E323382
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Theo Gray
Theo Gray is the son of American monologist and actor Spalding Gray.
|
E1046726
|
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: Theo Gray | Statement: [Spalding Gray, hasChild, Theo Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Gray Context triple: [Spalding Gray, hasChild, Theo Gray]
-
A.
Christopher Keene
Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
-
B.
Harry Seeley
Harry Seeley was a 19th-century British paleontologist best known for pioneering the division of dinosaurs into the major groups Saurischia and Ornithischia.
-
C.
Thomas Greer
Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
-
D.
Curt Gentry
Curt Gentry was an American author best known for co-writing the true-crime classic "Helter Skelter" about the Manson murders.
-
E.
Jim Bell
Jim Bell is a planetary scientist and author best known for his leadership in Mars rover imaging projects and his role as a prominent space exploration advocate.
- 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: Theo Gray Triple: [Spalding Gray, hasChild, Theo Gray]
Generated description
Theo Gray is the son of American monologist and actor Spalding Gray.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Theo Gray Target entity description: Theo Gray is the son of American monologist and actor Spalding Gray.
-
A.
Christopher Keene
Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
-
B.
Harry Seeley
Harry Seeley was a 19th-century British paleontologist best known for pioneering the division of dinosaurs into the major groups Saurischia and Ornithischia.
-
C.
Thomas Greer
Thomas Greer is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Greer.
-
D.
Curt Gentry
Curt Gentry was an American author best known for co-writing the true-crime classic "Helter Skelter" about the Manson murders.
-
E.
Jim Bell
Jim Bell is a planetary scientist and author best known for his leadership in Mars rover imaging projects and his role as a prominent space exploration advocate.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.