Triple

T12254196
Position Surface form Disambiguated ID Type / Status
Subject Alfred Hitchcock’s Mystery Magazine E292056 entity
Predicate alsoKnownAs P39 FINISHED
Object AHMM
AHMM is a long-running American digest magazine devoted to crime and mystery fiction, featuring short stories by both established and emerging authors.
E972602 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: AHMM | Statement: [Alfred Hitchcock’s Mystery Magazine, alsoKnownAs, AHMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AHMM
Context triple: [Alfred Hitchcock’s Mystery Magazine, alsoKnownAs, AHMM]
  • A. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • B. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • C. HCMM
    HCMM is the ICAO airport code assigned to Aden Adde International Airport, the main international airport serving Mogadishu, Somalia.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. AAMD
    AAMD is a professional organization representing the leaders of major art museums in North America, focused on advancing the role of art museums in society and supporting best practices in museum governance and curation.
  • 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: AHMM
Triple: [Alfred Hitchcock’s Mystery Magazine, alsoKnownAs, AHMM]
Generated description
AHMM is a long-running American digest magazine devoted to crime and mystery fiction, featuring short stories by both established and emerging authors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AHMM
Target entity description: AHMM is a long-running American digest magazine devoted to crime and mystery fiction, featuring short stories by both established and emerging authors.
  • A. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • B. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • C. HCMM
    HCMM is the ICAO airport code assigned to Aden Adde International Airport, the main international airport serving Mogadishu, Somalia.
  • D. UHMM
    UHMM is the ICAO airport code for Magadan Airport, a regional aviation hub in Russia’s Far East.
  • E. AAMD
    AAMD is a professional organization representing the leaders of major art museums in North America, focused on advancing the role of art museums in society and supporting best practices in museum governance and curation.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:52 p.m.