Triple
T12655527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanda Sykes |
E302270
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wanda at Large
Wanda at Large is an American sitcom starring comedian Wanda Sykes as a sharp-tongued stand-up comic who becomes a television political commentator.
|
E995295
|
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: Wanda at Large | Statement: [Wanda Sykes, notableWork, Wanda at Large]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda at Large Context triple: [Wanda Sykes, notableWork, Wanda at Large]
-
A.
Wanda III
Wanda III is a historic Muskoka steam yacht, now preserved and operated as a heritage tour vessel in Ontario, Canada.
-
B.
Whirlwind
Whirlwind is a Marvel Comics supervillain known for his high-speed spinning abilities and frequent battles against the Avengers, particularly Ant-Man and the Wasp.
-
C.
Whirlwind
Whirlwind is a dragon-unicorn hybrid Skylander known for her mastery of air and rainbow-based attacks in the Skylanders video game series.
-
D.
Wanda
Wanda is a fairy godparent character from the animated series "The Fairly OddParents," known for her responsible and level-headed personality.
-
E.
Wanda
Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
- 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: Wanda at Large Triple: [Wanda Sykes, notableWork, Wanda at Large]
Generated description
Wanda at Large is an American sitcom starring comedian Wanda Sykes as a sharp-tongued stand-up comic who becomes a television political commentator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanda at Large Target entity description: Wanda at Large is an American sitcom starring comedian Wanda Sykes as a sharp-tongued stand-up comic who becomes a television political commentator.
-
A.
Wanda III
Wanda III is a historic Muskoka steam yacht, now preserved and operated as a heritage tour vessel in Ontario, Canada.
-
B.
Whirlwind
Whirlwind is a Marvel Comics supervillain known for his high-speed spinning abilities and frequent battles against the Avengers, particularly Ant-Man and the Wasp.
-
C.
Whirlwind
Whirlwind is a dragon-unicorn hybrid Skylander known for her mastery of air and rainbow-based attacks in the Skylanders video game series.
-
D.
Wanda
Wanda is a fairy godparent character from the animated series "The Fairly OddParents," known for her responsible and level-headed personality.
-
E.
Wanda
Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961620b188190a8a8569f1133a9cf |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668832c7081909eb75429efba493e |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697e3a688190abd025df1112feba |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a9230608190bfe99290ca1679fa |
completed | May 2, 2026, 9:20 p.m. |
Created at: April 9, 2026, 5:18 p.m.