Triple
T1299744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Colby |
E27734
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Colby
Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
|
E147617
|
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: Colby | Statement: [William Colby, familyName, Colby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colby Context triple: [William Colby, familyName, Colby]
-
A.
Conant
Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
-
B.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
C.
Spencer
Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
-
D.
Spencer
Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
-
E.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
- 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: Colby Triple: [William Colby, familyName, Colby]
Generated description
Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colby Target entity description: Colby is a surname of English origin borne by various notable individuals, including former CIA Director William Colby.
-
A.
Conant
Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
-
B.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
C.
Spencer
Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
-
D.
Spencer
Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
-
E.
Brooke
Brooke Astor was a prominent American philanthropist and socialite known for her extensive charitable work in New York City.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc631b88190853948eeb5f24527 |
completed | March 7, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69acad4b2234819097d94df7812d3b13 |
completed | March 7, 2026, 10:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acadf94f0881908b0be66e37b8c04a |
completed | March 7, 2026, 11 p.m. |
Created at: March 1, 2026, 7:51 p.m.