Triple
T35244119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Buffay |
E1017610
|
entity |
| Predicate | relationshipToUrsula |
P206886
|
FINISHED |
| Object | biological mother |
—
|
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: biological mother | Statement: [Lily Buffay, relationshipToUrsula, biological mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToUrsula Context triple: [Lily Buffay, relationshipToUrsula, biological mother]
-
A.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
B.
relationshipWithProspero
Indicates that one entity has a specified type of interpersonal or narrative relationship with Prospero.
-
C.
relationshipToMaria
Indicates the specific type of relationship or connection that an entity has to Maria.
-
D.
relationshipToMelibea
Indicates a character’s specific type of personal or emotional relationship toward Melibea.
-
E.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.