Triple
T12920446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Ehrlich |
E309103
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert Ehrlich |
E309103
|
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: Robert Ehrlich | Statement: [Robert Ehrlich, name, Robert Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Ehrlich Context triple: [Robert Ehrlich, name, Robert Ehrlich]
-
A.
Robert Ehrlich
chosen
Robert Ehrlich is an American politician who served as the 60th governor of Maryland from 2003 to 2007.
-
B.
Douglas F. Gansler
Douglas F. Gansler is an American lawyer and Democratic politician who served as Maryland's Attorney General and previously as the State’s Attorney for Montgomery County.
-
C.
Anne McCrory
Anne McCrory is the mother of the late British actress Helen McCrory, known for her acclaimed work in film, television, and theatre.
-
D.
Bill McCreary
Bill McCreary is a former National Hockey League referee renowned for his long and distinguished officiating career, including working numerous Stanley Cup Finals and international tournaments.
-
E.
Jonathan W. Bush
Jonathan W. Bush is an American businessman and member of the Bush political family, known for his work in the healthcare technology sector.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:41 p.m.