Triple
T1823156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Warburton-Lee |
E40586
|
entity |
| Predicate | hasHonorificTitle |
P368
|
FINISHED |
| Object | DSO |
E84990
|
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: DSO | Statement: [Bernard Warburton-Lee, hasHonorificTitle, DSO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DSO Context triple: [Bernard Warburton-Lee, hasHonorificTitle, DSO]
-
A.
DSO
DSO is the acronym for the Division of Specialized Operations, a unit typically responsible for handling complex or high-risk operational tasks within an organization.
-
B.
DSO
chosen
DSO is a British military decoration awarded to officers for distinguished service in combat, typically in leadership roles.
-
C.
DSI
DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
-
D.
DSU
DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
-
E.
DSB
DSB is the commonly used abbreviation for the World Trade Organization’s Dispute Settlement Body, which oversees the resolution of trade disputes between member countries.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662d13e88190a22b0faf0d848c7d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6722f081908c5368a09d1507ac |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.