Triple

T17005354
Position Surface form Disambiguated ID Type / Status
Subject The Story of My Life E412554 entity
Predicate notableCharacterization P662 FINISHED
Object portrayal of Anne Sullivan as “Teacher” 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: portrayal of Anne Sullivan as “Teacher” | Statement: [The Story of My Life, notableCharacterization, portrayal of Anne Sullivan as “Teacher”]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableCharacterization
Context triple: [The Story of My Life, notableCharacterization, portrayal of Anne Sullivan as “Teacher”]
  • A. notableCollectionCharacteristic
    Indicates that a collection is distinguished by a particular defining feature or quality that makes it notable.
  • B. notableCharacterType
    Indicates that an entity is a notable or prominent example of a specified character type or role.
  • C. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • D. notableFeat
    Indicates that an entity is recognized for having achieved or performed a particularly significant or distinguished feat.
  • E. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d382400c819092ec0ca0de815888 completed April 18, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.