Triple
T29143397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavina Whateley |
E738699
|
entity |
| Predicate | relationshipToOldWhateley |
P202933
|
FINISHED |
| Object | daughter |
—
|
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: daughter | Statement: [Lavina Whateley, relationshipToOldWhateley, daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToOldWhateley Context triple: [Lavina Whateley, relationshipToOldWhateley, daughter]
-
A.
relationshipToEthanEdwards
Indicates the nature or type of connection, association, or bond that one entity has with Ethan Edwards.
-
B.
relationshipToSamanthaGrimm
Indicates the specific type of relationship or connection an entity has to Samantha Grimm.
-
C.
relationshipToHillHouse
Indicates the type or nature of a subject’s relationship or connection to Hill House.
-
D.
relationshipToEleanorVance
Indicates the specific nature or type of relationship an entity has with Eleanor Vance.
-
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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a00d24043e8819090cc473b6c0923d0 |
completed | May 10, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_6a00d1ec12fc81908c514ed088ef8300 |
completed | May 10, 2026, 6:43 p.m. |
| PDg | Predicate description generation | batch_6a00d23f402c8190bf49c0d4cce10b73 |
completed | May 10, 2026, 6:45 p.m. |
Created at: April 28, 2026, 11:38 a.m.