Triple
T19872855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let It Go |
E477562
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Garry Shider |
—
|
NE NERFINISHED |
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: Garry Shider | Statement: [Let It Go, writer, Garry Shider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garry Shider Context triple: [Let It Go, writer, Garry Shider]
-
A.
Garry Shider
chosen
Garry Shider was an American guitarist, singer, and songwriter best known for his work with George Clinton’s Parliament-Funkadelic collective and his influential role in shaping the P-Funk sound.
-
B.
Garry Kief
Garry Kief is an American television producer and longtime manager of singer Barry Manilow.
-
C.
Garry Walberg
Garry Walberg was an American character actor best known for his recurring television roles, particularly as Lt. Frank Monahan on the crime drama series "Quincy, M.E."
-
D.
Ray Shostak
Ray Shostak is a British public policy and performance management expert known for his leadership roles in government, including directing initiatives to improve public service delivery.
-
E.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.