Triple
T37997008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Loughborough |
E947986
|
entity |
| Predicate | historicallyAssociatedWithOffice |
P203748
|
FINISHED |
| Object | Lord Chancellor of Great Britain |
E1674758
|
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 Chancellor of Great Britain | Statement: [Baron Loughborough, historicallyAssociatedWithOffice, Lord Chancellor of Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyAssociatedWithOffice Context triple: [Baron Loughborough, historicallyAssociatedWithOffice, Lord Chancellor of Great Britain]
-
A.
isHistoricOffice
Indicates that an office or position has historical significance, typically due to its age, legacy, or role in past events.
-
B.
hasHistoricalOfficeHolder
Indicates that an office, position, or role has been held by a specific person at some point in the past.
-
C.
hasMemberWhoHeldOffice
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
D.
memberHeldOfficeFrom
Indicates that a member began holding a particular office or position starting from a specified date or time.
-
E.
officeHoldersBelongTo
Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
- F. None of above. chosen
Provenance (5 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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01e27bb77c8190a7686b77a524f177 |
completed | May 11, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415431a9748190861659dbba5c267b |
completed | June 28, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_6a01da2614788190b31db15539f5ba58 |
completed | May 11, 2026, 1:31 p.m. |
| PDg | Predicate description generation | batch_6a01e27af6488190af75efc2283d99b3 |
completed | May 11, 2026, 2:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.