Triple
T2450234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Amaker |
E53685
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Amaker |
E53685
|
NE FINISHED |
How this triple was built (2 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.
Amaker
chosen
Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
-
B.
The Maker
"The Maker" is a track by the electronic music producer Teatro, likely showcasing his signature atmospheric and melodic style.
-
C.
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.
-
D.
El hacedor
El hacedor is a 1960 collection of short prose pieces and poems by Jorge Luis Borges that explores themes of time, identity, and the nature of authorship in his characteristically metafictional style.
-
E.
Alkemade
Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c2a7b08190beb27f6a83208e5c |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.