Triple

T36574530
Position Surface form Disambiguated ID Type / Status
Subject Jerry Lawson E902207 entity
Predicate dateSubjectOf P185883 FINISHED
Object 2022-12-01 Google Doodle
The 2022-12-01 Google Doodle is an interactive tribute celebrating Jerry Lawson, a pioneering video game engineer who helped develop the first cartridge-based home gaming system.
 E2190605 NE FINISHED

How this triple was built (3 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: 2022-12-01 Google Doodle | Statement: [Jerry Lawson, dateSubjectOf, 2022-12-01 Google Doodle]
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: 2022-12-01 Google Doodle
Triple: [Jerry Lawson, dateSubjectOf, 2022-12-01 Google Doodle]
Generated description
The 2022-12-01 Google Doodle is an interactive tribute celebrating Jerry Lawson, a pioneering video game engineer who helped develop the first cartridge-based home gaming system.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: dateSubjectOf
Context triple: [Jerry Lawson, dateSubjectOf, 2022-12-01 Google Doodle]
  • A. titleSubjectOf
    Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
  • B. subjectKey
    Indicates that the subject serves as a unique key or identifier used to reference or distinguish an entity in a relationship or dataset.
  • C. subjectMatter
    Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
  • D. subjectOfMessages
    Indicates that an entity is the main topic or focus about which the messages are written or communicated.
  • E. subjectOfEvent
    Indicates that an entity participates in or is involved in a particular event as one of its primary actors or focal points.
  • F. None of above. chosen

Provenance (7 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_69f76e6416708190a9754b8c52d4e453 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f90fee288190a45ee9eb3e0fc78d completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39f9bd44a88190a65d9c6a28cc9836 completed June 23, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a39fcda8cf481908862a0458439039a completed June 23, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:11 p.m.