Triple
T21899786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Place, Wisconsin |
E540776
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Fez |
—
|
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: Fez | Statement: [Point Place, Wisconsin, associatedWithCharacter, Fez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fez Context triple: [Point Place, Wisconsin, associatedWithCharacter, Fez]
-
A.
Fez
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
B.
Fez
chosen
Fez is the quirky, foreign-exchange student character known for his awkward charm and comedic misunderstandings on the sitcom "That '70s Show."
-
C.
Fez (video game)
Fez is an indie puzzle-platform video game known for its 2D-to-3D perspective-shifting mechanics and retro-inspired aesthetic.
-
D.
Zakros
Zakros is an important Minoan archaeological site on the eastern coast of Crete, known for the remains of a palace complex and its role in Bronze Age trade.
-
E.
The Fez
"The Fez" is a quirky, funk-infused song by Steely Dan, known for its playful lyrics and distinctive groove.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.