Triple
T13472803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eudoria Holmes |
E318170
|
entity |
| Predicate | relationshipWithSherlock |
P110508
|
FINISHED |
| Object | mother and intellectual influence |
—
|
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: mother and intellectual influence | Statement: [Eudoria Holmes, relationshipWithSherlock, mother and intellectual influence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithSherlock Context triple: [Eudoria Holmes, relationshipWithSherlock, mother and intellectual influence]
-
A.
relationshipToDrWatson
Indicates the specific personal or professional relationship an entity has with Dr. Watson.
-
B.
roleInSherlock
Indicates the specific role or character that an entity portrays or holds in the context of the Sherlock series or franchise.
-
C.
workInSherlockHolmesCanon
Indicates that an entity is a work (e.g., story, novel, adaptation) that belongs to or is part of the Sherlock Holmes canon.
-
D.
relationshipToBertieWooster
Indicates the specific type of personal or social relationship an entity has with Bertie Wooster.
-
E.
relationshipToWilliamOfBaskerville
Indicates the specific type of personal or social relationship an entity has with William of Baskerville.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2447bc81908baf1f4b55095144 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.