Triple
T7421561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry |
E171258
|
entity |
| Predicate | centralCharacterOf |
P9202
|
FINISHED |
| Object | Makers |
E29577
|
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: Makers | Statement: [Perry, centralCharacterOf, Makers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makers Context triple: [Perry, centralCharacterOf, Makers]
-
A.
Makers
chosen
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.
The Maker
"The Maker" is a track by the electronic music producer Teatro, likely showcasing his signature atmospheric and melodic style.
-
C.
Life Makers
Life Makers is a popular Islamic-themed television program hosted by Egyptian preacher Amr Khaled that focuses on youth empowerment, social development, and faith-based community activism.
-
D.
Amaker
Amaker is the surname of Tommy Amaker, an American college basketball coach and former player best known for coaching at Harvard University.
-
E.
Made
Made is a town in the Dutch province of North Brabant, known as one of the population centers within the municipality of Drimmelen.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.