Triple
T5728280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allied Armies in Italy |
E126318
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | Richard McCreery |
E93583
|
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: Richard McCreery | Statement: [Allied Armies in Italy, notableCommander, Richard McCreery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard McCreery Context triple: [Allied Armies in Italy, notableCommander, Richard McCreery]
-
A.
Richard McCreery
chosen
Richard McCreery was a British Army general who commanded the Eighth Army in the final stages of the Italian Campaign during the Second World War.
-
B.
Bruce McCleery
Bruce McCleery is a cinematographer known for his work on the film "Sabotage."
-
C.
David McRae
David McRae is an author known for his work on the song "Maria Maria."
-
D.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
E.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250d5f4c8190a36b43ef5e6c7837 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107cae1648190a4b3b4de602b5177 |
completed | March 23, 2026, 9:28 a.m. |
Created at: March 22, 2026, 3:47 p.m.