Triple
T33720209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Jersey |
E863989
|
entity |
| Predicate | notableOfficeHeldByTitleholders |
P9949
|
FINISHED |
| Object | Lord Chamberlain |
E42500
|
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 Chamberlain | Statement: [Earl of Jersey, notableOfficeHeldByTitleholders, Lord Chamberlain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOfficeHeldByTitleholders Context triple: [Earl of Jersey, notableOfficeHeldByTitleholders, Lord Chamberlain]
-
A.
notableTitleHeld
Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
-
B.
parliamentaryAffiliationOfTitleholders
Indicates the parliamentary group, party, or affiliation associated with the holders of a given title.
-
C.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
D.
officeHoldersTitleInRevisedRomanization
Indicates the official title held by an officeholder, expressed using the Revised Romanization system for Korean.
-
E.
officeHolders
chosen
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
- F. None of above.
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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a363cad61588190b1836f39cbf09027 |
completed | June 20, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:44 a.m.