Triple

T23281482
Position Surface form Disambiguated ID Type / Status
Subject Operation CHAOS E588874 entity
Predicate alsoKnownAs P39 FINISHED
Object MHCHAOS
MHCHAOS was a secret CIA domestic surveillance program, part of Operation CHAOS, that monitored and collected intelligence on anti–Vietnam War and other political activists within the United States during the 1960s and 1970s.
 E1578116 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: MHCHAOS | Statement: [Operation CHAOS, alsoKnownAs, MHCHAOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MHCHAOS
Context triple: [Operation CHAOS, alsoKnownAs, MHCHAOS]
  • A. MHQ
    MHQ is the IATA airport code for Mariehamn Airport, which serves the town of Mariehamn in the Åland Islands, Finland.
  • B. HCH
    HCH is the National Rail station code for Holmes Chapel railway station in Cheshire, England.
  • C. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • D. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • E. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • 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: MHCHAOS
Triple: [Operation CHAOS, alsoKnownAs, MHCHAOS]
Generated description
MHCHAOS was a secret CIA domestic surveillance program, part of Operation CHAOS, that monitored and collected intelligence on anti–Vietnam War and other political activists within the United States during the 1960s and 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MHCHAOS
Target entity description: MHCHAOS was a secret CIA domestic surveillance program, part of Operation CHAOS, that monitored and collected intelligence on anti–Vietnam War and other political activists within the United States during the 1960s and 1970s.
  • A. MHQ
    MHQ is the IATA airport code for Mariehamn Airport, which serves the town of Mariehamn in the Åland Islands, Finland.
  • B. HCH
    HCH is the National Rail station code for Holmes Chapel railway station in Cheshire, England.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19643b8908190a2c29552b272dc61 completed April 29, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7f06a08190a3ac574cdcd79e3d completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c4075bc508190ae0dc8b61c24faa0 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c411702a48190ba2964ba221394d1 completed May 19, 2026, 10:53 a.m.
Created at: April 17, 2026, 4:57 p.m.