Triple

T575900
Position Surface form Disambiguated ID Type / Status
Subject Google Chrome Dev E13760 entity
Predicate name P16 FINISHED
Object Dev E13760 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: Dev | Statement: [Google Chrome Dev, name, Dev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dev
Context triple: [Google Chrome Dev, name, Dev]
  • A. Dev chosen
    Dev is the experimental Google Chrome release channel intended for developers and early adopters to test upcoming features and changes before they reach more stable versions.
  • B. Ted Levine
    Ted Levine is an American character actor best known for his chilling portrayal of serial killer Buffalo Bill in the film "The Silence of the Lambs."
  • C. Sol
    Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. Markus Persson
    Markus Persson, also known as "Notch," is a Swedish video game programmer and designer best known as the original creator of the sandbox game Minecraft.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.