Triple

T1611121
Position Surface form Disambiguated ID Type / Status
Subject Tom Preston-Werner E34614 entity
Predicate pseudonym P39 FINISHED
Object mojombo
mojombo is the online pseudonym of Tom Preston-Werner, a software developer and entrepreneur best known as a co-founder of GitHub.
 E183287 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: mojombo | Statement: [Tom Preston-Werner, pseudonym, mojombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: mojombo
Context triple: [Tom Preston-Werner, pseudonym, mojombo]
  • A. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • B. MOZ
    MOZ is the three-letter ISO 3166-1 alpha-3 country code assigned to Mozambique.
  • C. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • D. MOJ
    MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
  • E. MOIA
    MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
  • 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: mojombo
Triple: [Tom Preston-Werner, pseudonym, mojombo]
Generated description
mojombo is the online pseudonym of Tom Preston-Werner, a software developer and entrepreneur best known as a co-founder of GitHub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: mojombo
Target entity description: mojombo is the online pseudonym of Tom Preston-Werner, a software developer and entrepreneur best known as a co-founder of GitHub.
  • A. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • B. MOZ
    MOZ is the three-letter ISO 3166-1 alpha-3 country code assigned to Mozambique.
  • C. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • D. MOJ
    MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
  • E. MOIA
    MOIA is a mobility services company focused on ride-pooling and urban transportation solutions, operating as a subsidiary of the Volkswagen Group.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622b9fbc8190bff82acdde10deb6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51c751308190a89f6462ee365418 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad52f6b15c819097d4e56884e31600 completed March 8, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69ad53536a108190b97b7017ad567ad5 completed March 8, 2026, 10:45 a.m.
Created at: March 4, 2026, 7:28 p.m.