Triple
T13726110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Break Every Chain |
E329657
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Will Reagan |
E1058523
|
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: Will Reagan | Statement: [Break Every Chain, recordedBy, Will Reagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Reagan Context triple: [Break Every Chain, recordedBy, Will Reagan]
-
A.
Will Reagan
chosen
Will Reagan is an American Christian worship leader and songwriter known for his work with United Pursuit and influential contemporary worship songs.
-
B.
Tom Reagan
Tom Reagan is the cunning, soft-spoken consigliere protagonist of the Coen brothers’ Prohibition-era crime film "Miller’s Crossing," known for his moral ambiguity and intricate manipulation of rival gangs.
-
C.
Reagan
Reagan is a given name commonly used in English-speaking countries for both males and females.
-
D.
Reagan Arthur
Reagan Arthur is an American book editor and publishing executive known for her influential leadership roles at major publishing houses.
-
E.
The Reagans
The Reagans is a 2003 television miniseries dramatizing the personal and political life of U.S. President Ronald Reagan and First Lady Nancy Reagan.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.