Triple
T21443395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kory-Kory |
E528999
|
entity |
| Predicate | relationshipTo |
P37
|
FINISHED |
| Object | Tommo |
—
|
NE NERFINISHED |
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: Tommo | Statement: [Kory-Kory, relationshipTo, Tommo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommo Context triple: [Kory-Kory, relationshipTo, Tommo]
-
A.
Tommo
chosen
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
Tomi
Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
-
C.
Tomcito
Tomcito is a Thoroughbred racehorse best known as a stakes-winning son of leading sire Street Cry.
-
D.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
E.
Tommy
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b7055d148190ae3b52e10abd8fd2 |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.