Triple

T22670694
Position Surface form Disambiguated ID Type / Status
Subject Green Thoughts E559908 entity
Predicate hasPart P35 FINISHED
Object Now and Then NE NERFINISHED

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: Now and Then | Statement: [Green Thoughts, hasPart, Now and Then]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Now and Then
Context triple: [Green Thoughts, hasPart, Now and Then]
  • A. Now and Then
    "Now and Then" is a 1995 coming-of-age film that follows four women reminiscing about a formative summer from their childhood in the 1970s.
  • B. Now and Then chosen
    "Now and Then" is a reflective memoir by theologian and writer Frederick Buechner that explores his faith, vocation, and personal history.
  • C. There and Then
    "There and Then" is a live video and album release by the British rock band Oasis, capturing performances from their mid-1990s peak.
  • D. Now & Then
    Now & Then is a 1973 concept album by the Carpenters that blends their signature soft pop sound with a nostalgic medley of 1960s hits framed as a radio broadcast.
  • E. See Now Then
    See Now Then is a 2013 novel by Jamaica Kincaid that explores time, memory, and the unraveling of a marriage in a small New England town through a lyrical, experimental narrative style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781f946c8190add74a7dac2b1819 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.