Triple
T19451418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 7 |
E486620
|
entity |
| Predicate | colorOption |
P60
|
FINISHED |
| Object | (PRODUCT)RED |
—
|
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: (PRODUCT)RED | Statement: [iPhone 7, colorOption, (PRODUCT)RED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: (PRODUCT)RED Context triple: [iPhone 7, colorOption, (PRODUCT)RED]
-
A.
(RED)
chosen
(RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
-
B.
Red Doff
Red Doff was a film producer active in mid-20th-century American cinema.
-
C.
“Red”
"Red" is a poem by Ted Hughes included in his collection *Birthday Letters*, reflecting on his relationship with Sylvia Plath through the symbolic use of color.
-
D.
the Red
The Red is a mystical force in DC Comics that connects and empowers all animal life, serving as the source of Animal Man’s abilities.
-
E.
the Red
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.