Triple
T3224910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy |
E67600
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Tommie |
E204004
|
NE FINISHED |
How this triple was built (2 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: Tommie | Statement: [Tommy, hasSpellingVariant, Tommie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommie Context triple: [Tommy, hasSpellingVariant, Tommie]
-
A.
Tommie
chosen
Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
-
B.
Tommy
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
-
C.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
D.
Tommy Leach
Tommy Leach was an early 20th-century Major League Baseball third baseman and outfielder best known for his speed, defensive skill, and starring role with the Pittsburgh Pirates, including in the first modern World Series in 1903.
-
E.
Tommy Luske
Tommy Luske is an American former child actor best known for providing the voice of the title character in Disney’s 1953 animated film "Peter Pan."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28e9479fc819092442f50d0b883f8 |
completed | March 12, 2026, 9:59 a.m. |
Created at: March 8, 2026, 3:08 p.m.