Triple
T9087244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Luns |
E217789
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joseph Luns |
E217789
|
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: Joseph Luns | Statement: [Joseph Luns, name, Joseph Luns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Luns Context triple: [Joseph Luns, name, Joseph Luns]
-
A.
Joseph Luns
chosen
Joseph Luns was a prominent Dutch politician and diplomat who served as NATO Secretary General and played a key role in postwar European and transatlantic affairs.
-
B.
Edward Hume
Edward Hume was an American television writer and producer best known for creating and writing several popular crime and drama series in the 1970s and 1980s.
-
C.
Edmund Greacen
Edmund Greacen was an American Impressionist painter and influential art educator who co-founded New York’s Grand Central School of Art.
-
D.
Philip Ober
Philip Ober was an American character actor known for his supporting roles in classic mid-20th-century films and television series.
-
E.
Gerald Templer
Gerald Templer was a British field marshal best known for his leadership in counterinsurgency and colonial military campaigns, particularly in Southeast Asia.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965646408190b041ab0e2d5dbc94 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017c893fc819087d18db2383b9bb4 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:13 p.m.