Triple

T3296555
Position Surface form Disambiguated ID Type / Status
Subject Mariska Hargitay E69229 entity
Predicate film P9968 FINISHED
Object Lake Placid E16515 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: Lake Placid | Statement: [Mariska Hargitay, film, Lake Placid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Placid
Context triple: [Mariska Hargitay, film, Lake Placid]
  • A. Lake Placid chosen
    Lake Placid is a village and nearby lake in northern New York best known as a major winter sports destination and host of the 1932 and 1980 Winter Olympics.
  • B. Blue Mountain Lake, New York
    Blue Mountain Lake, New York is a small hamlet in the central Adirondacks known for its scenic mountain lake setting and historic resorts.
  • C. Saranac Lake
    Saranac Lake is a historic village and resort community in northern New York known for its scenic lakes, outdoor recreation, and role as a former tuberculosis treatment center.
  • D. Tupper Lake
    Tupper Lake is a scenic lake and small community in northern New York known as a gateway to outdoor recreation in the Adirondack region.
  • E. Indian Lake, New York
    Indian Lake, New York is a small Adirondack town in Hamilton County known for its wilderness recreation opportunities, including serving as a gateway to nearby forest and river areas.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb078f3dc8190afb624f62894e48f completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.