Triple
T1046629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toto Memorial |
E22594
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Toto |
E115952
|
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: Toto | Statement: [Toto Memorial, dedicatedTo, Toto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toto Context triple: [Toto Memorial, dedicatedTo, Toto]
-
A.
Toto
chosen
Toto is the small, loyal dog who accompanies Dorothy Gale on her adventures in L. Frank Baum’s "The Wonderful Wizard of Oz" and its adaptations.
-
B.
TOM the Tiger
TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
-
C.
Truman the Tiger
Truman the Tiger is the costumed tiger mascot who represents the University of Missouri’s athletic teams, energizing crowds at sporting events and campus activities.
-
D.
Zooropa
Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
-
E.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84d30888190b66f7245d781957d |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66224db481909318add535721977 |
completed | March 7, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.