Triple

T5359183
Position Surface form Disambiguated ID Type / Status
Subject The Mad Hatter E102776 entity
Predicate interactsWith P3970 FINISHED
Object Alice E339871 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: Alice | Statement: [The Mad Hatter, interactsWith, Alice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice
Context triple: [The Mad Hatter, interactsWith, Alice]
  • A. Alice
    Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
  • B. Alice
    Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
  • C. Alice chosen
    Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
  • D. Alice
    Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
  • E. Alice
    Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e955a8819094a0b12e42e2d6a6 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.