Triple
T23551163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc |
E578048
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Food Records |
—
|
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: Food Records | Statement: [Arc, recordLabel, Food Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Food Records Context triple: [Arc, recordLabel, Food Records]
-
A.
Food Records
chosen
Food Records was a British independent record label known for signing and releasing music by alternative rock bands in the late 1980s and 1990s.
-
B.
Food
Food is a 2014 studio album by American singer Kelis that blends soul, funk, and R&B with a warm, retro-inspired sound.
-
C.
Foodo people
The Foodo people are an ethnic group in West Africa, primarily in Benin, known for their distinct cultural traditions and their use of the Foodo language.
-
D.
EAT
EAT is the IATA airport code for Pangborn Memorial Airport, a regional airport serving the Wenatchee area in Washington State, USA.
-
E.
EAT
EAT is the stock ticker symbol for Brinker International, Inc., a major American restaurant company best known for operating the Chili’s Grill & Bar and Maggiano’s Little Italy chains.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecf28508190b8d3396591e5e6bb |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.