Triple
T11164121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesame Street Bay of Play |
E264116
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Grover |
E345524
|
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: Grover | Statement: [Sesame Street Bay of Play, hasCharacter, Grover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grover Context triple: [Sesame Street Bay of Play, hasCharacter, Grover]
-
A.
Grover
Grover is a masculine given name most famously borne by Grover Cleveland, the 22nd and 24th president of the United States.
-
B.
Grover
chosen
Grover is a furry blue Muppet monster from Sesame Street known for his enthusiastic personality, frequent mishaps, and alter ego "Super Grover."
-
C.
Grunkle Stan
Grunkle Stan is the gruff, money-obsessed yet secretly caring great-uncle who runs the Mystery Shack in the animated series Gravity Falls.
-
D.
Dr. Teeth
Dr. Teeth is the flamboyant, gold-toothed bandleader and keyboardist of the Electric Mayhem in the Muppets franchise.
-
E.
Oscar the Grouch
Oscar the Grouch is a beloved Sesame Street Muppet known for his grumpy personality, love of trash, and residence in a garbage can.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e887293081909830852000d533fa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463851a348190a9a8bd1501026d83 |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.