Triple
T13879724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasmanian devil |
E333680
|
entity |
| Predicate | inspired |
P9
|
FINISHED |
| Object | Taz (Looney Tunes character) |
E922948
|
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: Taz (Looney Tunes character) | Statement: [Tasmanian devil, inspired, Taz (Looney Tunes character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taz (Looney Tunes character) Context triple: [Tasmanian devil, inspired, Taz (Looney Tunes character)]
-
A.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
-
B.
Taz
Taz is a music producer known for contributing to Lil Wayne’s acclaimed hip-hop album "Tha Carter II."
-
C.
Taz
Taz is a retired professional wrestler and commentator best known for his intense, suplex-heavy style in ECW and WWE.
-
D.
Taz
chosen
Taz is the ferocious, whirlwind-spinning Tasmanian Devil from the Looney Tunes franchise, known for his grunts, growls, and insatiable appetite.
-
E.
Bugs Bunny
Bugs Bunny is an iconic, wisecracking cartoon rabbit from the Looney Tunes series, famous for his catchphrase "What's up, Doc?" and his clever, mischievous antics.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be71d388190909290cad2c6daf5 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c7100b308190bdd5feaa116ee5fe |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.