Triple

T1017306
Position Surface form Disambiguated ID Type / Status
Subject The Christian Science Monitor E21959 entity
Predicate shortName P43 FINISHED
Object CSMonitor
CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
 E121649 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: CSMonitor | Statement: [The Christian Science Monitor, shortName, CSMonitor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CSMonitor
Context triple: [The Christian Science Monitor, shortName, CSMonitor]
  • A. Monitor Pass
    Monitor Pass is a high mountain roadway in California’s Sierra Nevada known for its scenic views and seasonal closures due to heavy snowfall.
  • B. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • C. Norton
    Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • D. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • E. OSCT
    OSCT is the acronym for the UK government’s Office for Security and Counter-Terrorism, which leads national strategy and policy on counter-terrorism and security.
  • 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: CSMonitor
Triple: [The Christian Science Monitor, shortName, CSMonitor]
Generated description
CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CSMonitor
Target entity description: CSMonitor is the abbreviated name for The Christian Science Monitor, an international news organization known for in-depth, balanced journalism.
  • A. Monitor Pass
    Monitor Pass is a high mountain roadway in California’s Sierra Nevada known for its scenic views and seasonal closures due to heavy snowfall.
  • B. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • C. Norton
    Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
  • D. Norton
    Norton is a residential suburb within the town of Runcorn in Cheshire, England.
  • E. OSCT
    OSCT is the acronym for the UK government’s Office for Security and Counter-Terrorism, which leads national strategy and policy on counter-terrorism and security.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c4d488819081d8214ba0a22fe5 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3dd441fc8190ad462aa07e9c8c9b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.