Triple
T6495396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grover Cleveland Alexander |
E148145
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Grover |
E97141
|
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: [Grover Cleveland Alexander, givenName, Grover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grover Context triple: [Grover Cleveland Alexander, givenName, Grover]
-
A.
Grover
Grover is a furry blue Muppet monster from Sesame Street known for his enthusiastic personality, frequent mishaps, and alter ego "Super Grover."
-
B.
Grover
chosen
Grover is a masculine given name most famously borne by Grover Cleveland, the 22nd and 24th president of the United States.
-
C.
Dr. Teeth
Dr. Teeth is the flamboyant, gold-toothed bandleader and keyboardist of the Electric Mayhem in the Muppets franchise.
-
D.
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.
-
E.
Gruer
Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab958808190bd85e007e925ffc4 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.