Triple

T12119831
Position Surface form Disambiguated ID Type / Status
Subject Skilling, Helle, Christiansen, Robertson E288663 entity
Predicate shortName P43 FINISHED
Object SHCR
SHCR is the abbreviated name of the law firm Skilling, Helle, Christiansen & Robertson.
 E962682 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: SHCR | Statement: [Skilling, Helle, Christiansen, Robertson, shortName, SHCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SHCR
Context triple: [Skilling, Helle, Christiansen, Robertson, shortName, SHCR]
  • A. SHC
    SHC is the station code for Saharsa Junction, a key railway station in the Indian state of Bihar.
  • B. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • C. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • D. SHCJ
    SHCJ is a Roman Catholic religious congregation of women dedicated to education and the spiritual development of children and young people, founded in the 19th century by Cornelia Connelly.
  • E. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • 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: SHCR
Triple: [Skilling, Helle, Christiansen, Robertson, shortName, SHCR]
Generated description
SHCR is the abbreviated name of the law firm Skilling, Helle, Christiansen & Robertson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SHCR
Target entity description: SHCR is the abbreviated name of the law firm Skilling, Helle, Christiansen & Robertson.
  • A. SHC
    SHC is the station code for Saharsa Junction, a key railway station in the Indian state of Bihar.
  • B. HCR
    HCR is the commonly used abbreviation for the United Nations High Commissioner for Refugees, the UN agency responsible for protecting and supporting refugees worldwide.
  • C. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • D. SHCJ
    SHCJ is a Roman Catholic religious congregation of women dedicated to education and the spiritual development of children and young people, founded in the 19th century by Cornelia Connelly.
  • E. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f684172c81908b77daa243dc8ed8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.