Triple
T27716067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Banks |
E698819
|
entity |
| Predicate | relationshipTypeWith Paul Bratter |
P95781
|
FINISHED |
| Object | mother-in-law |
—
|
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-in-law | Statement: [Ethel Banks, relationshipTypeWith Paul Bratter, mother-in-law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Paul Bratter Context triple: [Ethel Banks, relationshipTypeWith Paul Bratter, mother-in-law]
-
A.
relationshipTypeWith Corie Bratter
Indicates the specific nature or category of relationship that an entity has with Corie Bratter.
-
B.
relationshipToPaul
chosen
Indicates a specified type of personal or social relationship that an entity has with Paul.
-
C.
relationshipStatusWithPaulMontague
Indicates the nature or state of an entity’s personal relationship with Paul Montague.
-
D.
relationshipTypeWith Bette Porter
Indicates the specific nature or category of relationship that an entity has with Bette Porter.
-
E.
hasRelationshipTypeWith Frank Drebin
Indicates that there exists a specific type of relationship between an entity and Frank Drebin.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: April 27, 2026, 3:04 p.m.