Triple
T33924072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Evelyn Leonora Almina Herbert |
E869699
|
entity |
| Predicate | wasPresentWith |
P96580
|
FINISHED |
| Object | George Herbert, 5th Earl of Carnarvon |
—
|
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: George Herbert, 5th Earl of Carnarvon | Statement: [Lady Evelyn Leonora Almina Herbert, wasPresentWith, George Herbert, 5th Earl of Carnarvon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPresentWith Context triple: [Lady Evelyn Leonora Almina Herbert, wasPresentWith, George Herbert, 5th Earl of Carnarvon]
-
A.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
B.
hasPresentUse
Indicates that an entity is currently being used or serving a particular function at the present time.
-
C.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
D.
wasAmong
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
-
E.
confirmedPresenceOf
chosen
Indicates that the presence or existence of an entity has been verified as true or established with certainty.
- F. None of above.
Provenance (3 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.