Triple
T9928040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuks |
E187971
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tukkies |
E187972
|
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: Tukkies | Statement: [Tuks, alsoKnownAs, Tukkies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tukkies Context triple: [Tuks, alsoKnownAs, Tukkies]
-
A.
Tukkies
chosen
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
B.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
-
C.
Maimies
Maimies is an alternate historical name for the Mayaimi people, a Native American group that once inhabited the Lake Okeechobee region of present-day Florida.
-
D.
Tubby
Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
-
E.
Skully
Skully is a small, talkative green parrot who serves as a lookout and helpful companion to the young pirate crew in the children's animated series "Jake and the Never Land Pirates."
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59d7ad08190982a1584547190bd |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.