Triple

T11714647
Position Surface form Disambiguated ID Type / Status
Subject Collette Wolfe E278462 entity
Predicate notableWork P4 FINISHED
Object Observe and Report E349296 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: Observe and Report | Statement: [Collette Wolfe, notableWork, Observe and Report]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Observe and Report
Context triple: [Collette Wolfe, notableWork, Observe and Report]
  • A. Observe and Report chosen
    Observe and Report is a dark comedy film about an unstable mall security guard, starring Seth Rogen and featuring Ray Liotta in a prominent supporting role.
  • B. Observer-Reporter
    The Observer-Reporter is a regional daily newspaper serving communities in southwestern Pennsylvania with local news, sports, and community coverage.
  • C. Observations
    Observations is a landmark 1924 poetry collection by Marianne Moore that helped establish her reputation for precise, imagistic, and intellectually intricate verse.
  • D. Observations
    Observations is a 1959 photography book by Richard Avedon, with text by Truman Capote, renowned for its striking black-and-white portraits of celebrities and cultural figures.
  • E. Monitoring and Reporting Mechanism
    Monitoring and Reporting Mechanism is a United Nations system that systematically documents, verifies, and reports grave violations committed against children in situations of armed conflict to inform protection efforts and accountability.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.