Triple

T4773103
Position Surface form Disambiguated ID Type / Status
Subject Camden Clark Medical Center E105978 entity
Predicate shortName P43 FINISHED
Object Camden Clark
Camden Clark is a regional hospital and healthcare provider based in Parkersburg, West Virginia.
E468807 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: Camden Clark | Statement: [Camden Clark Medical Center, shortName, Camden Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden Clark
Context triple: [Camden Clark Medical Center, shortName, Camden Clark]
  • A. Eli Pittman
    Eli Pittman was an individual significant enough in the local history or development of Sevier County, Tennessee, that the town of Pittman Center was named in his honor.
  • B. Clayton Hamilton
    Clayton Hamilton was an American drama critic and author known for his influential early 20th-century writings on theater and dramatic literature.
  • C. Christopher Clayton
    Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
  • D. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • E. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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: Camden Clark
Triple: [Camden Clark Medical Center, shortName, Camden Clark]
Generated description
Camden Clark is a regional hospital and healthcare provider based in Parkersburg, West Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Camden Clark
Target entity description: Camden Clark is a regional hospital and healthcare provider based in Parkersburg, West Virginia.
  • A. Eli Pittman
    Eli Pittman was an individual significant enough in the local history or development of Sevier County, Tennessee, that the town of Pittman Center was named in his honor.
  • B. Clayton Hamilton
    Clayton Hamilton was an American drama critic and author known for his influential early 20th-century writings on theater and dramatic literature.
  • C. Christopher Clayton
    Christopher Clayton is a distinguished geoscientist recognized for his significant contributions to the Earth sciences, as evidenced by his receipt of the prestigious William Smith Medal.
  • D. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • E. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655f98b0819088c05c5502ecf2cd completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43c2995c81909b16baa672c4844a completed March 21, 2026, 7:07 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:21 p.m.