Triple
T2068106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Avenol |
E45950
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Eric Drummond |
E45347
|
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: Eric Drummond | Statement: [Joseph Avenol, precededBy, Eric Drummond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Drummond Context triple: [Joseph Avenol, precededBy, Eric Drummond]
-
A.
Eric Drummond
chosen
Eric Drummond was a British diplomat best known for serving as the first Secretary-General of the League of Nations, helping to shape the early framework of modern international diplomacy.
-
B.
Andrew Duncan
Andrew Duncan was a British industrialist and politician who served as the United Kingdom’s Minister of Supply during the Second World War.
-
C.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
D.
Donald Finlay
Donald Finlay was a British hurdler and Royal Air Force officer who twice medaled in the Olympic 110m hurdles and later took the athletes' oath at the 1948 London Games.
-
E.
Angus McGill
Angus McGill was a British journalist and humorist known for his witty newspaper columns and light comic writing.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f362f48190b1b0e560424c3aef |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf09d0748190bfc995031b61145f |
completed | March 9, 2026, 12:37 p.m. |
Created at: March 4, 2026, 7:41 p.m.