Triple
T839745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grover Cleveland |
E18149
|
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, givenName, Grover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grover Context triple: [Grover Cleveland, givenName, Grover]
-
A.
Grover
chosen
Grover is a masculine given name most famously borne by Grover Cleveland, the 22nd and 24th president of the United States.
-
B.
Lloyd
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
C.
Bert
Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
-
D.
Kermit Bloomgarden
Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
-
E.
Charlie
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe4ab1081909207ae2eec1898d9 |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8472f188190b470893c76b20ccf |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:38 p.m.