Triple

T18704617
Position Surface form Disambiguated ID Type / Status
Subject Modular Inc. E457338 entity
Predicate develops P73 FINISHED
Object Mojo
Mojo is a high-performance programming language designed by Modular Inc. to combine Python’s usability with systems-level speed and capabilities for AI and compute-intensive workloads.
 E1338334 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: Mojo | Statement: [Modular Inc., develops, Mojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mojo
Context triple: [Modular Inc., develops, Mojo]
  • A. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • B. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • C. Mojo
    Mojo is a town in central Ethiopia located along major transport routes southeast of Addis Ababa.
  • D. Mojo Hand
    "Mojo Hand" is a classic blues song by Texas guitarist and singer Lightnin’ Hopkins, widely regarded as one of his signature recordings.
  • E. Mojo (1997 film)
    Mojo is a 1997 British black comedy crime film, adapted from Jez Butterworth’s stage play, set in London’s Soho nightclub scene of the late 1950s.
  • 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: Mojo
Triple: [Modular Inc., develops, Mojo]
Generated description
Mojo is a high-performance programming language designed by Modular Inc. to combine Python’s usability with systems-level speed and capabilities for AI and compute-intensive workloads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mojo
Target entity description: Mojo is a high-performance programming language designed by Modular Inc. to combine Python’s usability with systems-level speed and capabilities for AI and compute-intensive workloads.
  • A. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • B. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • C. Mojo
    Mojo is a town in central Ethiopia located along major transport routes southeast of Addis Ababa.
  • D. Mojo Hand
    "Mojo Hand" is a classic blues song by Texas guitarist and singer Lightnin’ Hopkins, widely regarded as one of his signature recordings.
  • E. Mojo (1997 film)
    Mojo is a 1997 British black comedy crime film, adapted from Jez Butterworth’s stage play, set in London’s Soho nightclub scene of the late 1950s.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671665bc8190b9b4a4ce4ec5b2eb completed April 19, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b38ab548190b46ecda128e93c9b completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c9486908190a5cdb60f7cb65888 completed May 14, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a052cec9c788190a0c9396b35dd95c0 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:49 a.m.