Triple
T426507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Amaker |
E9619
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Amaker
Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
|
E53685
|
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: Amaker | Statement: [Tommy Amaker, familyName, Amaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amaker Context triple: [Tommy Amaker, familyName, Amaker]
-
A.
Makers
Makers is a science fiction novel by Cory Doctorow that explores a near-future maker culture, disruptive innovation, and the social and economic upheavals caused by rapid technological change.
-
B.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
C.
Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
-
D.
The Factory
The Factory was Andy Warhol’s legendary New York City studio and avant-garde hub, famous for its experimental art, film, and celebrity-filled gatherings in the 1960s and 1970s.
-
E.
Manf
Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
- 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: Amaker Triple: [Tommy Amaker, familyName, Amaker]
Generated description
Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amaker Target entity description: Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
-
A.
Makers
Makers is a science fiction novel by Cory Doctorow that explores a near-future maker culture, disruptive innovation, and the social and economic upheavals caused by rapid technological change.
-
B.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
C.
Miller
Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
-
D.
The Factory
The Factory was Andy Warhol’s legendary New York City studio and avant-garde hub, famous for its experimental art, film, and celebrity-filled gatherings in the 1960s and 1970s.
-
E.
Manf
Manf is the Arabic name for the ancient Egyptian city of Memphis, a historically significant capital near modern-day Cairo.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42a187e208190ba58c0d9f68aaef8 |
completed | March 1, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69a42a8b49b88190864aa55f49916a87 |
completed | March 1, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a42b030ccc819086ae0c96ca1ba4a8 |
completed | March 1, 2026, 12:03 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.