Triple
T4261182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John de Robeck |
E96107
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John de Robeck |
E96107
|
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: John de Robeck | Statement: [John de Robeck, name, John de Robeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John de Robeck Context triple: [John de Robeck, name, John de Robeck]
-
A.
John de Robeck
chosen
John de Robeck was a British admiral best known for leading the Royal Navy’s operations during the Gallipoli campaign in World War I.
-
B.
Charles Dupuy
Charles Dupuy was a French statesman who served multiple times as Prime Minister during the Third Republic and played a key role in centrist republican politics.
-
C.
Andrew Cunningham
Andrew Cunningham was a prominent British Royal Navy admiral of World War II, noted for his leadership in major Mediterranean campaigns and his role in Allied amphibious operations.
-
D.
Fletcher Marron
Fletcher Marron is the young son of superstar singer and actress Rachel Marron in the film "The Bodyguard."
-
E.
General Pierre de Villiers
General Pierre de Villiers is a French Army officer who served as Chief of the Defence Staff and played a leading role in modern French military operations, including counterterrorism efforts in the Sahel.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f8103b48190934a810faafa6cb7 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78c93c48190a4274f0de3fc2d25 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.