Triple

T7417580
Position Surface form Disambiguated ID Type / Status
Subject California Gurls E171167 entity
Predicate writer P1360 FINISHED
Object Lukasz Gottwald E632664 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: Lukasz Gottwald | Statement: [California Gurls, writer, Lukasz Gottwald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukasz Gottwald
Context triple: [California Gurls, writer, Lukasz Gottwald]
  • A. Lukasz Gottwald chosen
    Lukasz Gottwald, better known as Dr. Luke, is an American record producer and songwriter renowned for crafting numerous pop hits for major artists in the 2000s and 2010s.
  • B. Kamil Grosicki
    Kamil Grosicki is a Polish professional footballer and winger known for his pace, creativity, and long international career with the Poland national team.
  • C. Pawel Maciwoda
    Pawel Maciwoda is a Polish bassist best known for playing with the German hard rock band Scorpions.
  • D. Filip Wolski
    Filip Wolski is a machine learning researcher known for his work at OpenAI, including contributions to reinforcement learning methods such as Proximal Policy Optimization (PPO).
  • E. Tomasz Arciszewski
    Tomasz Arciszewski was a Polish socialist politician and statesman who served as prime minister of the Polish government-in-exile during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83440200081909cf0c747697d644a completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:11 p.m.