Triple

T4391094
Position Surface form Disambiguated ID Type / Status
Subject PlaidML E99362 entity
Predicate hasComponent P35 FINISHED
Object Tile IR
Tile IR is an intermediate representation used within the PlaidML machine learning compiler to express and optimize tensor computations across diverse hardware backends.
 E435224 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: Tile IR | Statement: [PlaidML, hasComponent, Tile IR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tile IR
Context triple: [PlaidML, hasComponent, Tile IR]
  • A. Grand Tiler
    Grand Tiler is a senior Masonic lodge officer responsible for guarding the entrance and ensuring the privacy and security of lodge meetings.
  • B. The Grid
    The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
  • C. Kachelotplate
    Kachelotplate is a small, uninhabited sandbank island in the Wadden Sea off the coast of East Frisia in northwestern Germany.
  • D. House of Tiles
    House of Tiles is a historic Baroque palace in Mexico City famed for its façade covered in blue-and-white Puebla tiles and its current use as a landmark restaurant and cultural venue.
  • E. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • 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: Tile IR
Triple: [PlaidML, hasComponent, Tile IR]
Generated description
Tile IR is an intermediate representation used within the PlaidML machine learning compiler to express and optimize tensor computations across diverse hardware backends.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tile IR
Target entity description: Tile IR is an intermediate representation used within the PlaidML machine learning compiler to express and optimize tensor computations across diverse hardware backends.
  • A. Grand Tiler
    Grand Tiler is a senior Masonic lodge officer responsible for guarding the entrance and ensuring the privacy and security of lodge meetings.
  • B. The Grid
    The Grid is a science fiction television miniseries known for its focus on counterterrorism and international security operations.
  • C. Kachelotplate
    Kachelotplate is a small, uninhabited sandbank island in the Wadden Sea off the coast of East Frisia in northwestern Germany.
  • D. House of Tiles
    House of Tiles is a historic Baroque palace in Mexico City famed for its façade covered in blue-and-white Puebla tiles and its current use as a landmark restaurant and cultural venue.
  • E. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352843d7c8190929b94c94eaa63df completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e530428881908d125971263bd747 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e629115881908436a81b5774ac24 completed March 14, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69b5e68c960c8190a946574120a50047 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:19 p.m.