Triple
T22506617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handel & Hendrix in London |
E556405
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Handel & Hendrix in London |
—
|
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: Handel & Hendrix in London | Statement: [Handel & Hendrix in London, name, Handel & Hendrix in London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handel & Hendrix in London Context triple: [Handel & Hendrix in London, name, Handel & Hendrix in London]
-
A.
Handel & Hendrix in London
chosen
Handel & Hendrix in London is a combined museum in Mayfair that preserves and interprets the former homes of composer George Frideric Handel and rock guitarist Jimi Hendrix.
-
B.
From Hank to Hendrix
"From Hank to Hendrix" is a reflective folk-rock song by Neil Young that appears on his 1992 album "Harvest Moon."
-
C.
Los Hendrix
Los Hendrix is a music producer best known for his work on Jazmine Sullivan’s acclaimed R&B project "Heaux Tales."
-
D.
Hendrix
Hendrix is a surname most famously associated with legendary American rock guitarist and singer-songwriter Jimi Hendrix.
-
E.
Hendrix
Hendrix is an Australian television film featuring Kerry Armstrong in a prominent role.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5cddf88190821d9c9fdee84160 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.