Triple

T34547182
Position Surface form Disambiguated ID Type / Status
Subject Polaroid Corporation E886956 entity
Predicate notableFor P22 FINISHED
Object SX-70 instant camera
The SX-70 instant camera is a groundbreaking folding single-lens reflex Polaroid camera introduced in the 1970s that popularized integral instant film photography.
 E2099844 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: SX-70 instant camera | Statement: [Polaroid Corporation, notableFor, SX-70 instant camera]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SX-70 instant camera
Triple: [Polaroid Corporation, notableFor, SX-70 instant camera]
Generated description
The SX-70 instant camera is a groundbreaking folding single-lens reflex Polaroid camera introduced in the 1970s that popularized integral instant film photography.

Provenance (5 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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72022cc348190a5a2e9aae263b638 completed May 3, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37361de21c8190bdb5c35137675bf3 completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a3736f7cce88190b2d78815c6556488 completed June 21, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a373786fbf08190af3ef8679402bcf8 completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 2:02 a.m.