Triple

T17065682
Position Surface form Disambiguated ID Type / Status
Subject Stephen Lang E414080 entity
Predicate notableWork P4 FINISHED
Object Salem
"Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
E444348 NE FINISHED

How this triple was built (4 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: Salem | Statement: [Stephen Lang, notableWork, Salem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salem
Context triple: [Stephen Lang, notableWork, Salem]
  • A. Salem
    Salem is a major city in the Indian state of Tamil Nadu, historically significant as an important administrative and commercial center under British rule.
  • B. Salem
    Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
  • C. Salem
    Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
  • D. Salem
    Salem is a small city in Utah County, Utah, known for its scenic pond, suburban character, and location within the Provo–Orem metropolitan area.
  • E. Salem
    Salem is a common Arabic male given name meaning "safe" or "peaceful," widely used across the Arab world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Salem
Triple: [Stephen Lang, notableWork, Salem]
Generated description
"Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salem
Target entity description: "Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
  • A. Salem chosen
    Salem is a supernatural horror television series that reimagines the infamous Salem witch trials with a dark, fictionalized narrative.
  • B. Salem
    Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
  • C. Salem
    Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
  • D. Salem
    Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
  • E. Salem
    Salem is a long-established American brand of menthol cigarettes produced by R.J. Reynolds.
  • F. None of above.

Provenance (5 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db806de48190a9ce68b40fc77a74 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01234e9a94819094618ba43b7d22b4 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a01245aa7ec81909fa20befa29f590c completed May 11, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_6a01281c8bf08190a24d77fe6af595f4 completed May 11, 2026, 12:51 a.m.
Created at: April 10, 2026, 5:34 a.m.