Triple

T36100599
Position Surface form Disambiguated ID Type / Status
Subject Macintosh Performa 6100 series E1044193 entity
Predicate marketingName P11546 FINISHED
Object Macintosh Performa 6117
The Macintosh Performa 6117 is a mid-1990s Apple personal computer model from the PowerPC-based Performa 6100 family, aimed at home and small-office users.
E1044193 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: Macintosh Performa 6117 | Statement: [Macintosh Performa 6100 series, marketingName, Macintosh Performa 6117]
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: Macintosh Performa 6117
Triple: [Macintosh Performa 6100 series, marketingName, Macintosh Performa 6117]
Generated description
The Macintosh Performa 6117 is a mid-1990s Apple personal computer model from the PowerPC-based Performa 6100 family, aimed at home and small-office users.

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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b28fcda88190b6c011fa1981d66f completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b418424c81908ffacbb031a7681f completed June 22, 2026, 10:15 p.m.
NEDg Description generation batch_6a39b6e33acc8190bfacd73e46c15139 completed June 22, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_6a39b7796e1c81909600a1b006e33ac8 completed June 22, 2026, 10:30 p.m.
Created at: May 3, 2026, 4:08 p.m.