Triple
T11385975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Looney Tunes |
E269715
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Taz
Taz is the ferocious, whirlwind-spinning Tasmanian Devil from the Looney Tunes franchise, known for his grunts, growls, and insatiable appetite.
|
E922948
|
NE FINISHED |
How this triple was built (4 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 | Statement: [New Looney Tunes, featuresCharacter, Taz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taz Context triple: [New Looney Tunes, featuresCharacter, Taz]
-
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.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
E.
Tony the Landshark
Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Taz Triple: [New Looney Tunes, featuresCharacter, Taz]
Generated description
Taz is the ferocious, whirlwind-spinning Tasmanian Devil from the Looney Tunes franchise, known for his grunts, growls, and insatiable appetite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taz Target entity description: Taz is the ferocious, whirlwind-spinning Tasmanian Devil from the Looney Tunes franchise, known for his grunts, growls, and insatiable appetite.
-
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.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
E.
Tony the Landshark
Tony the Landshark is the costumed landshark character that serves as the official athletic mascot of the University of Mississippi (Ole Miss).
- F. None of above. chosen
Provenance (5 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc378d808190b587a044ede67e1e |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c3c9a7081908002d726ec9e7715 |
completed | April 20, 2026, 2:15 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.