Triple

T32260475
Position Surface form Disambiguated ID Type / Status
Subject Los Olivos, California E824137 entity
Predicate associatedWith P37 FINISHED
Object Michael Jackson
Michael Jackson was an American singer, songwriter, and dancer known as the "King of Pop," whose groundbreaking music, performances, and cultural impact made him one of the most influential entertainers in history.
E43639 NE FINISHED

How this triple was built (2 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: Michael Jackson | Statement: [Los Olivos, California, associatedWith, Michael Jackson]
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: Michael Jackson
Triple: [Los Olivos, California, associatedWith, Michael Jackson]
Generated description
Michael Jackson was an American singer, songwriter, and dancer known as the "King of Pop," whose groundbreaking music, performances, and cultural impact made him one of the most influential entertainers in history.

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_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc57134c8190806fe7558f39b44e completed May 3, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46d9a0548190acdb49c45f6572c5 completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f79b71a308190b06f4954beb6a535 completed June 15, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_6a2f7a7d17e48190a40f7f79299f9dbe completed June 15, 2026, 4:07 a.m.
Created at: May 1, 2026, 12:41 a.m.