Triple

T9957574
Position Surface form Disambiguated ID Type / Status
Subject November Update (1511) E195482 entity
Predicate codename P2980 FINISHED
Object Threshold 2 E195481 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: Threshold 2 | Statement: [November Update (1511), codename, Threshold 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Threshold 2
Context triple: [November Update (1511), codename, Threshold 2]
  • A. Threshold chosen
    Threshold is the internal codename Microsoft used during development of the Windows 10 operating system.
  • B. Threshold
    Threshold is a science fiction television series created by Brannon Braga (along with others) that explores a secret government response to an alien first-contact event.
  • C. Threshold
    Threshold is a Target-exclusive home goods brand offering stylish and affordable furniture, décor, and household essentials.
  • D. Red Level
    Red Level is a small town located in Covington County in southern Alabama, known for its rural character and tight-knit community.
  • E. Level II
    Level II is a 2003 R&B album by Blackstreet that marked the group’s reunion and continuation of their signature smooth, harmony-driven sound.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6cceb608190ad4424afaddcabfa completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257aa73d4819081f77f8386449905 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:46 p.m.