Triple
T8015447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillies |
E186602
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gillis |
E596404
|
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: Gillis | Statement: [Gillies, hasVariant, Gillis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillis Context triple: [Gillies, hasVariant, Gillis]
-
A.
Gillis
chosen
Gillis is the surname of the fictional character Dobie Gillis, the protagonist of a mid-20th-century American sitcom and earlier short stories.
-
B.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
C.
Tuiskon Ziller
Tuiskon Ziller was a 19th-century German philosopher and educator known for developing and systematizing Herbartian pedagogy, significantly shaping modern educational theory.
-
D.
Flinck
Flinck is a Dutch surname most notably associated with the 17th-century painter Govert Flinck, a prominent figure of the Dutch Golden Age.
-
E.
Ziller
The Ziller is a river in the Austrian state of Tyrol that flows through the Zillertal valley before joining the Inn River.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df24e4c8190ae1c46e97e54787d |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56ba88b88190ad279d79d7f0ffd7 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.