Triple
T4816923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray's Inn |
E107609
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object | Lord Dyson |
E164547
|
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: Lord Dyson | Statement: [Gray's Inn, hasNotableAlumnus, Lord Dyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Dyson Context triple: [Gray's Inn, hasNotableAlumnus, Lord Dyson]
-
A.
Lord Dyson
chosen
Lord Dyson is a prominent British judge and legal scholar who served as Master of the Rolls and Justice of the Supreme Court of the United Kingdom.
-
B.
Simon Dunsdon
Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
-
C.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
D.
Lord Lufton
Lord Lufton is a young, charming aristocrat in Anthony Trollope’s Barsetshire novels, best known for his central romantic and social entanglements in "Framley Parsonage."
-
E.
Dorian Lord
Dorian Lord is a central, long-running fictional character on the American soap opera "One Life to Live," known for her scheming, glamour, and complex family and romantic entanglements.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c947b18819086c3af556bb7591c |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db8cb208190bda1d6df46391dfa |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.