Triple

T32050338
Position Surface form Disambiguated ID Type / Status
Subject Thos. Greene E818473 entity
Predicate hasAbbreviationExpansionRule P127294 FINISHED
Object "Thos." expands to "Thomas"
Thos. Greene is an individual whose given name is the common English name Thomas, with "Thos." serving as its standard abbreviation.
 E1988417 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: "Thos." expands to "Thomas" | Statement: [Thos. Greene, hasAbbreviationExpansionRule, "Thos." expands to "Thomas"]
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: "Thos." expands to "Thomas"
Triple: [Thos. Greene, hasAbbreviationExpansionRule, "Thos." expands to "Thomas"]
Generated description
Thos. Greene is an individual whose given name is the common English name Thomas, with "Thos." serving as its standard abbreviation.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAbbreviationExpansionRule
Context triple: [Thos. Greene, hasAbbreviationExpansionRule, "Thos." expands to "Thomas"]
  • A. hasAbbreviationPattern
    Indicates that there is a systematic abbreviation relationship between two strings, where one follows a recognizable pattern derived from the other.
  • B. hasAbbreviationStatus
    Indicates that an entity has a particular status or condition regarding its abbreviation (e.g., whether it is abbreviated, how, or to what extent).
  • C. hasAbbreviationOrForm chosen
    Indicates that one entity serves as an abbreviation, shortened form, or alternative written form of another entity.
  • D. isAbbreviation
    Indicates that one term is a shortened or abbreviated form of another term.
  • E. canBeUsedWithAbbreviation
    Indicates that one entity (such as a term, phrase, or expression) is suitable to be used together with a particular abbreviation.
  • 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_69f348fcfb648190859f6be5e04b7cfe completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4c884148190be2cb7d9b354d17f completed May 3, 2026, 2:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed5014dc48190a867e1417199d589 completed June 14, 2026, 4:21 p.m.
NEDg Description generation batch_6a2ed5c14c4c8190965782d998ae7f2b completed June 14, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed747be30819082b3f0e05dc1f118 completed June 14, 2026, 4:31 p.m.
PD Predicate disambiguation batch_69f6b3a7bdb481908d16a32f49e38c2c completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:20 a.m.