Triple
T2881375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Jordan |
E59403
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Robert Jordan |
E59403
|
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 Jordan | Statement: [Robert Jordan, fullName, Robert Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Jordan Context triple: [Robert Jordan, fullName, Robert Jordan]
-
A.
Robert Jordan
chosen
Robert Jordan is the American dynamiter and Spanish Civil War volunteer who serves as the idealistic yet introspective protagonist of Ernest Hemingway’s novel "For Whom the Bell Tolls."
-
B.
Robert Jordan
Robert Jordan is a political figure who ran as a candidate in San Francisco’s 2019 mayoral election.
-
C.
Terry Brooks
Terry Brooks is a bestselling American fantasy author best known for his long-running Shannara series.
-
D.
George R. R. Martin
George R. R. Martin is an American fantasy author best known for his epic series "A Song of Ice and Fire," which was adapted into the television phenomenon "Game of Thrones."
-
E.
Jonathan Rollins
Jonathan Rollins is a high-powered, ambitious attorney on the television series "L.A. Law," known for his sharp legal skills and complex personal relationships.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031633efc819088c2ea29eafaff0f |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.