Triple

T35556929
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Lakers and Boston Celtics met in the NBA Finals for the third time in the 1980s E1027522 entity
Predicate latestChapterOf P183243 FINISHED
Object Lakers–Celtics rivalry 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: Lakers–Celtics rivalry | Statement: [Los Angeles Lakers and Boston Celtics met in the NBA Finals for the third time in the 1980s, latestChapterOf, Lakers–Celtics rivalry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: latestChapterOf
Context triple: [Los Angeles Lakers and Boston Celtics met in the NBA Finals for the third time in the 1980s, latestChapterOf, Lakers–Celtics rivalry]
  • A. chapterNumber
    Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
  • B. isFinalChapterOf
    Indicates that one entity is the concluding or last chapter within the sequence of chapters of another entity (typically a work or volume).
  • C. chapterOn
    Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
  • D. chapterAfter
    Indicates that one chapter directly follows another in a sequential ordering.
  • E. containsChapter
    Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
  • F. None of above. chosen

Provenance (4 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_69f76e014fd481909e9f04ac603a2aa9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
PDg Predicate description generation batch_69f79a53ccc481908421ae16e69aa8a4 completed May 3, 2026, 6:56 p.m.
Created at: May 3, 2026, 4:04 p.m.