Triple

T12759454
Position Surface form Disambiguated ID Type / Status
Subject Mike Fallopian E304951 entity
Predicate memberOf P10 FINISHED
Object Peter Pinguid Society
The Peter Pinguid Society is a fictional right-wing, anti-communist organization featured in Thomas Pynchon's novel "The Crying of Lot 49."
E1000657 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: Peter Pinguid Society | Statement: [Mike Fallopian, memberOf, Peter Pinguid Society]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Pinguid Society
Context triple: [Mike Fallopian, memberOf, Peter Pinguid Society]
  • A. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • B. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • C. Pavelets
    Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • D. Porkeri
    Porkeri is a small village on the island of Suðuroy in the Faroe Islands, known for its traditional Faroese architecture and scenic coastal setting.
  • E. Pokomo
    The Pokomo are a Bantu-speaking ethnic group of Kenya primarily living along the Tana River, known for riverine agriculture, fishing, and rich oral traditions.
  • 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: Peter Pinguid Society
Triple: [Mike Fallopian, memberOf, Peter Pinguid Society]
Generated description
The Peter Pinguid Society is a fictional right-wing, anti-communist organization featured in Thomas Pynchon's novel "The Crying of Lot 49."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Pinguid Society
Target entity description: The Peter Pinguid Society is a fictional right-wing, anti-communist organization featured in Thomas Pynchon's novel "The Crying of Lot 49."
  • A. Pitiüses
    The Pitiüses are a small Mediterranean archipelago comprising the Spanish Balearic Islands of Ibiza and Formentera and their surrounding islets.
  • B. Pugo
    Pugo is a Latvian surname most notably borne by Boris Pugo, a Soviet politician and security official involved in the 1991 August Coup.
  • C. Pavelets
    Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • D. Porkeri
    Porkeri is a small village on the island of Suðuroy in the Faroe Islands, known for its traditional Faroese architecture and scenic coastal setting.
  • E. Pokomo
    The Pokomo are a Bantu-speaking ethnic group of Kenya primarily living along the Tana River, known for riverine agriculture, fishing, and rich oral traditions.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:28 p.m.