Triple

T13320247
Position Surface form Disambiguated ID Type / Status
Subject ATI Technologies E317294 entity
Predicate product P490 FINISHED
Object FirePro
FirePro is a line of professional graphics cards developed by ATI Technologies (later AMD) for high-performance workstation and CAD/3D applications.
 E1033655 NE FINISHED

How this triple was built (4 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: FirePro | Statement: [ATI Technologies, product, FirePro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FirePro
Context triple: [ATI Technologies, product, FirePro]
  • A. Fire Inc.
    Fire Inc. was a studio rock band assembled by Jim Steinman, best known for performing the epic opening and closing songs in the 1984 film "Streets of Fire."
  • B. Fire Bro
    Fire Bro is a fireball-throwing Koopa enemy from the Super Mario video game series, known as a variant of the classic Hammer Bro.
  • C. Fire 7
    Fire 7 is Amazon’s compact, budget-friendly 7-inch Fire tablet designed for basic media consumption, reading, and everyday apps.
  • D. FDS
    FDS is the onboard computer system on NASA’s Voyager 1 spacecraft responsible for managing instruments and formatting data for transmission back to Earth.
  • E. FDS
    FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: FirePro
Triple: [ATI Technologies, product, FirePro]
Generated description
FirePro is a line of professional graphics cards developed by ATI Technologies (later AMD) for high-performance workstation and CAD/3D applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FirePro
Target entity description: FirePro is a line of professional graphics cards developed by ATI Technologies (later AMD) for high-performance workstation and CAD/3D applications.
  • A. Fire Inc.
    Fire Inc. was a studio rock band assembled by Jim Steinman, best known for performing the epic opening and closing songs in the 1984 film "Streets of Fire."
  • B. Fire Bro
    Fire Bro is a fireball-throwing Koopa enemy from the Super Mario video game series, known as a variant of the classic Hammer Bro.
  • C. Fire 7
    Fire 7 is Amazon’s compact, budget-friendly 7-inch Fire tablet designed for basic media consumption, reading, and everyday apps.
  • D. FDS
    FDS is the onboard computer system on NASA’s Voyager 1 spacecraft responsible for managing instruments and formatting data for transmission back to Earth.
  • E. FDS
    FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
  • F. None of above. chosen

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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990faa95481908a7fd297959c062e completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ee695c81909ffeeb0901ee66c1 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:29 p.m.