Triple

T35244133
Position Surface form Disambiguated ID Type / Status
Subject Duncan Sullivan E1017611 entity
Predicate greenCardType P36584 FINISHED
Object United States permanent resident card
The United States permanent resident card is an identification document that grants a non-citizen the legal right to live and work permanently in the United States.
E2131030 NE FINISHED

How this triple was built (3 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: United States permanent resident card | Statement: [Duncan Sullivan, greenCardType, United States permanent resident card]
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: United States permanent resident card
Triple: [Duncan Sullivan, greenCardType, United States permanent resident card]
Generated description
The United States permanent resident card is an identification document that grants a non-citizen the legal right to live and work permanently in the United States.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: greenCardType
Context triple: [Duncan Sullivan, greenCardType, United States permanent resident card]
  • A. citizenshipType
    Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
  • B. immigrationType chosen
    Indicates the specific category or classification of an individual’s immigration status or entry into a country.
  • C. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • D. visaClass
    Indicates the specific category or type of visa associated with an individual or immigration case.
  • E. hasTypicalCitizenship
    Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
  • F. None of above.

Provenance (6 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_69f76de235048190b990070c23c51b6b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38042591848190805d4c467c42e382 completed June 21, 2026, 3:32 p.m.
NEDg Description generation batch_6a380589165c8190b839f07aa93e700b completed June 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a38063b3520819080ba23f3dad18048 completed June 21, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.