Triple
T2842830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grove Karl Gilbert |
E62509
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Grove |
E45714
|
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: Grove | Statement: [Grove Karl Gilbert, givenName, Grove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grove Context triple: [Grove Karl Gilbert, givenName, Grove]
-
A.
Grove
chosen
Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
-
B.
Groves
Groves is a surname most notably associated with U.S. Army General Leslie R. Groves Jr., who directed the Manhattan Project during World War II.
-
C.
Deanwood
Deanwood is a historic, predominantly residential neighborhood in Northeast Washington, D.C., known for its early-20th-century African American community, small-town feel, and modest single-family homes.
-
D.
Storrow
Storrow is a local nickname for Boston’s Storrow Drive, a busy riverside parkway notorious for low-clearance bridges and frequent truck accidents.
-
E.
In a Grove
"In a Grove" is a seminal short story by Ryūnosuke Akutagawa that presents a murder through multiple conflicting eyewitness accounts, exploring the nature of truth and perception.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:01 p.m.