Triple
T26856868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Egerton, 1st Viscount Brackley |
E676219
|
entity |
| Predicate | appointedLordKeeper |
P175213
|
FINISHED |
| Object | 1596 |
—
|
LITERAL 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: 1596 | Statement: [Thomas Egerton, 1st Viscount Brackley, appointedLordKeeper, 1596]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedLordKeeper Context triple: [Thomas Egerton, 1st Viscount Brackley, appointedLordKeeper, 1596]
-
A.
appointedLordHighTreasurer
Indicates that one entity formally appointed another to the position of Lord High Treasurer.
-
B.
appointedLordDeputyOfIreland
Indicates that one entity formally appointed another to the position of Lord Deputy of Ireland.
-
C.
lordChancellor
Indicates that one entity holds the position or role of Lord Chancellor in relation to another entity (such as a state, monarch, or government).
-
D.
assumedOfficeAsLordGreatChamberlain
Indicates that an entity formally took up and began serving in the role of Lord Great Chamberlain.
-
E.
appointedLordOfAppealInOrdinaryYear
Indicates the year in which an individual was appointed as a Lord of Appeal in Ordinary.
- F. None of above. chosen
Provenance (4 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 27, 2026, 5:22 a.m.