Triple

T12845196
Position Surface form Disambiguated ID Type / Status
Subject Lisa Wilkinson E307155 entity
Predicate presented P83 FINISHED
Object Today E10952 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: Today | Statement: [Lisa Wilkinson, presented, Today]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Today
Context triple: [Lisa Wilkinson, presented, Today]
  • A. Today
    "Today" is a pioneering 1929 Soviet documentary film by Esfir Shub that exemplifies her innovative use of found footage to deliver sharp social and political commentary.
  • B. Today chosen
    Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
  • C. Today
    Today is BBC Radio 4’s leading early-morning news and current affairs programme, featuring in-depth interviews, reports, and analysis of national and international events.
  • D. Today
    "Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
  • E. Today
    "Today" is a 1967 folk-rock ballad by Jefferson Airplane, known for its gentle melody and prominent place on their influential album "Surrealistic Pillow."
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a549fc188190a7dfcf16faa5e415 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:36 p.m.