Triple

T3226123
Position Surface form Disambiguated ID Type / Status
Subject Thomas E67625 entity
Predicate shortForm P43 FINISHED
Object Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
E348388 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: Tommo | Statement: [Thomas, shortForm, Tommo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommo
Context triple: [Thomas, shortForm, Tommo]
  • A. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • B. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • C. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • D. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • E. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • 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: Tommo
Triple: [Thomas, shortForm, Tommo]
Generated description
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tommo
Target entity description: Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • A. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • B. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • C. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • D. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • E. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a65d2988190a053eb2f22503f83 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c33fc3c8190b5af3f38206736de completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31c9f48788190bdf4b4ce47e1e5b5 completed March 12, 2026, 8:05 p.m.
Created at: March 8, 2026, 3:08 p.m.