Triple

T16702401
Position Surface form Disambiguated ID Type / Status
Subject Jamie Zawinski E405884 entity
Predicate alsoKnownAs P39 FINISHED
Object jwz
jwz is the online handle of Jamie Zawinski, a prominent programmer known for his work on Netscape, Mozilla, and various open-source projects.
E1228814 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: jwz | Statement: [Jamie Zawinski, alsoKnownAs, jwz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: jwz
Context triple: [Jamie Zawinski, alsoKnownAs, jwz]
  • A. JW
    JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
  • B. JWG
    JWG is the abbreviation for the Joint Working Group, a collaborative body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
  • C. JWY
    JWY is the FAA location identifier for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas.
  • D. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • 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: jwz
Triple: [Jamie Zawinski, alsoKnownAs, jwz]
Generated description
jwz is the online handle of Jamie Zawinski, a prominent programmer known for his work on Netscape, Mozilla, and various open-source projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: jwz
Target entity description: jwz is the online handle of Jamie Zawinski, a prominent programmer known for his work on Netscape, Mozilla, and various open-source projects.
  • A. JW
    JW is the IATA airline designator assigned to Vanilla Air, a former Japanese low-cost carrier.
  • B. JWG
    JWG is the abbreviation for the Joint Working Group, a collaborative body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
  • C. JWY
    JWY is the FAA location identifier for Mid-Way Regional Airport, a public airport serving the Midlothian and Waxahachie area in Texas.
  • D. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • E. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383326d7081909ef4c3b724876513 completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a0dee08190a67ed5df2008c91e completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00923f1da08190b6b2c869284099bc completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00931aa1d88190a0775e74779b3a6b completed May 10, 2026, 2:15 p.m.
Created at: April 10, 2026, 5:19 a.m.