Triple

T1737192
Position Surface form Disambiguated ID Type / Status
Subject 30 for 30 E37945 entity
Predicate hasSpinOff P7226 FINISHED
Object 30 for 30 Shorts E37945 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: 30 for 30 Shorts | Statement: [30 for 30, hasSpinOff, 30 for 30 Shorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 30 for 30 Shorts
Context triple: [30 for 30, hasSpinOff, 30 for 30 Shorts]
  • A. 30 for 30 chosen
    30 for 30 is an acclaimed ESPN documentary film series that explores pivotal stories, personalities, and events in sports history.
  • B. The Last Dance
    The Last Dance is a sports documentary miniseries chronicling Michael Jordan and the Chicago Bulls’ 1997–98 championship season, interwoven with a broader look at Jordan’s career and legacy.
  • C. 60 Minutes
    60 Minutes is a long-running American television news magazine program known for its in-depth investigative reporting and interviews.
  • D. First Take
    First Take is an ESPN sports talk show featuring lively debates and commentary on current sports topics.
  • E. The Newsroom
    The Newsroom is an American television drama series created by Aaron Sorkin that follows the behind-the-scenes workings of a cable news network as it grapples with journalistic integrity and contemporary politics.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a47cd481909c211e4da7f5dfe9 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b03303c8190a301dca327bf9f47 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.