Triple
T32669503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroness Morgan of Cotes |
E835249
|
entity |
| Predicate | titleHolderRepresents |
P197990
|
FINISHED |
| Object | Loughborough |
—
|
NE NERFINISHED |
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: Loughborough | Statement: [Baroness Morgan of Cotes, titleHolderRepresents, Loughborough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderRepresents Context triple: [Baroness Morgan of Cotes, titleHolderRepresents, Loughborough]
-
A.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
B.
titleHolderWas
Indicates that an entity previously held a specific title or position before it passed to someone or something else.
-
C.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
-
D.
titleHolderTo
Indicates that one entity currently holds or possesses an official title, position, or designation in relation to another entity.
-
E.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
| PDg | Predicate description generation | batch_69fec00e5c1c819083d174bb4bc35f29 |
completed | May 9, 2026, 5:03 a.m. |
Created at: May 1, 2026, 1:09 a.m.