Triple

T3542421
Position Surface form Disambiguated ID Type / Status
Subject No Age E74916 entity
Predicate notableWork P4 FINISHED
Object People Helping People E186708 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: People Helping People | Statement: [No Age, notableWork, People Helping People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: People Helping People
Context triple: [No Age, notableWork, People Helping People]
  • A. Help the Poor
    "Help the Poor" is a blues song popularized by B.B. King, featured on his acclaimed live album *Live at the Regal*.
  • B. People in Need
    People in Need is a Czech humanitarian and human rights organization that provides aid in crisis regions, supports civil society, and promotes social inclusion and education worldwide.
  • C. Volunteers
    The Volunteers are the athletic teams representing the University of Tennessee in NCAA Division I sports, particularly known for their passionate fan base and storied football and basketball programs.
  • D. Volunteers
    "Volunteers" is a 1985 American comedy film starring Tom Hanks and Rita Wilson, set in the early 1960s and centered on a privileged slacker who joins the Peace Corps in Southeast Asia.
  • E. Points of Light chosen
    Points of Light is a nonprofit organization dedicated to promoting volunteerism and civic engagement through large-scale service initiatives and support for community-based organizations.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.