Triple

T24087425
Position Surface form Disambiguated ID Type / Status
Subject Greed E596685 entity
Predicate editingHistory P88939 FINISHED
Object heavily cut by studio from original length LITERAL 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: heavily cut by studio from original length | Statement: [Greed, editingHistory, heavily cut by studio from original length]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: editingHistory
Context triple: [Greed, editingHistory, heavily cut by studio from original length]
  • A. editHistoryPublic
    Indicates that the record of changes or revisions made to an item is visible to others.
  • B. historicalModification chosen
    Indicates that one entity has altered, updated, or otherwise changed another entity at some point in the past, with the modification recorded as part of its history.
  • C. editingIs
    Indicates that one entity is performing or undergoing the process of editing another entity.
  • D. formatHistory
    Indicates that one entity records or structures the sequence of past states, events, or changes associated with another entity into a specific format.
  • E. editedTo
    Indicates that one entity has been modified, revised, or altered in order to become the other entity.
  • F. None of above.

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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2b555481909ffcd2898fdd51fa completed April 29, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 10:45 p.m.