Triple

T12627235
Position Surface form Disambiguated ID Type / Status
Subject iPhone 14 E301545 entity
Predicate colorOption P60 FINISHED
Object (PRODUCT)RED E130279 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: (PRODUCT)RED | Statement: [iPhone 14, colorOption, (PRODUCT)RED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: (PRODUCT)RED
Context triple: [iPhone 14, 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 the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
  • E. Red V
    Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686f9ba48190bd82b2bb037d7d7a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:14 p.m.