Triple

T1047974
Position Surface form Disambiguated ID Type / Status
Subject Carrie E22626 entity
Predicate setInPlace P1957 FINISHED
Object Chamberlain, Maine
Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
 E375485 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: Chamberlain, Maine | Statement: [Carrie, setInPlace, Chamberlain, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chamberlain, Maine
Context triple: [Carrie, setInPlace, Chamberlain, Maine]
  • A. Blaine, Maine
    Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
  • B. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • C. Chapman, Maine
    Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
  • D. Howland, Maine
    Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
  • E. Rumford, Maine
    Rumford, Maine is a small mill town in western Maine known for its paper industry heritage and proximity to outdoor recreation in the surrounding mountains and rivers.
  • 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: Chamberlain, Maine
Triple: [Carrie, setInPlace, Chamberlain, Maine]
Generated description
Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chamberlain, Maine
Target entity description: Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
  • A. Blaine, Maine
    Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
  • B. Lovell, Maine
    Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
  • C. Chapman, Maine
    Chapman, Maine is a small rural town located in northern Maine within Aroostook County.
  • D. Howland, Maine
    Howland, Maine is a small rural town in Penobscot County known for its location along the Penobscot and Piscataquis Rivers and its outdoor recreation opportunities.
  • E. Rumford, Maine
    Rumford, Maine is a small mill town in western Maine known for its paper industry heritage and proximity to outdoor recreation in the surrounding mountains and rivers.
  • F. None of above. chosen

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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b19a5c8190a532e025bd724088 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44eb4706c8190870d99abc140973d completed March 13, 2026, 5:51 p.m.
NEDg Description generation batch_69b45285db388190b437b32db0bd4322 completed March 13, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69b462b64d2c81909683f8aeb1c0e924 completed March 13, 2026, 7:17 p.m.
Created at: March 1, 2026, 7:42 p.m.