Triple
T26856871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Egerton, 1st Viscount Brackley |
E676219
|
entity |
| Predicate | dateCreatedBaronEllesmere |
P161537
|
FINISHED |
| Object | 1603 |
—
|
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: 1603 | Statement: [Thomas Egerton, 1st Viscount Brackley, dateCreatedBaronEllesmere, 1603]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateCreatedBaronEllesmere Context triple: [Thomas Egerton, 1st Viscount Brackley, dateCreatedBaronEllesmere, 1603]
-
A.
yearOfCreationOfEarldom
Indicates the specific year in which a particular earldom was formally created or established.
-
B.
locatedInHistoricBarony
Indicates that one entity is situated within the geographical area of a historically recognized barony.
-
C.
dateOfCanonicalErection
Indicates the official date on which an institution, organization, or entity was formally and canonically established or erected according to relevant legal or religious norms.
-
D.
isAmongOldestBaronies
Indicates that the barony is one of the earliest-established or longest-standing baronies within a given set or region.
-
E.
createdDukeOfSomersetDate
Indicates the date on which an entity was made Duke of Somerset.
- 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_69f61b96bcc08190b8d9cb07cf19876a |
completed | May 2, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:22 a.m.