Triple
T15906078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodie |
E385722
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Mondo |
E385716
|
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: Mondo | Statement: [Woodie, appearsAlongside, Mondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mondo Context triple: [Woodie, appearsAlongside, Mondo]
-
A.
Mondo
chosen
Mondo is a central character known for embodying the laid-back, upbeat spirit that defines the tone and style of *Good Vibes*.
-
B.
Tuttomondo
Tuttomondo is a large, colorful public mural in Pisa, Italy, created by American artist Keith Haring in 1989 and depicting his signature stylized human figures.
-
C.
Mondo Rock
Mondo Rock is an Australian rock band best known for its 1980s hits blending pop-rock hooks with polished, radio-friendly production.
-
D.
Mundanije
Mundanije is a small inland village on the Croatian island of Rab, known for its traditional rural character and scenic surroundings.
-
E.
Mundus
Mundus was a 6th-century Ostrogothic general who served under King Vitiges during the Gothic War against the Byzantine Empire.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565b0d688190acc181c777387c65 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a5b0dc81909606d667c3bc0edf |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.