Triple
T29097957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Alex Murry |
E735060
|
entity |
| Predicate | relationshipToDennysMurry |
P202825
|
FINISHED |
| Object | father |
—
|
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: father | Statement: [Dr. Alex Murry, relationshipToDennysMurry, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDennysMurry Context triple: [Dr. Alex Murry, relationshipToDennysMurry, father]
-
A.
relationshipToSandyMurry
Indicates the specific familial, social, or professional relationship that one entity has to Sandy Murry.
-
B.
relationshipToMegMurry
Indicates the specific type of relationship or connection an entity has to Meg Murry.
-
C.
relationshipWithMaurice
Indicates a relationship or connection that an entity has with the individual named Maurice.
-
D.
relationshipToDudley
Indicates the specific familial or social relationship that one entity has to the person named Dudley.
-
E.
relationshipTypeWithMarnie
Indicates the specific nature or category of relationship that an entity has with Marnie.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a00c07b302081908bf9755f8fdbc36e |
completed | May 10, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_6a00bfffb168819084b65804d601896d |
completed | May 10, 2026, 5:27 p.m. |
| PDg | Predicate description generation | batch_6a00c07a38e88190bdde0aaafd9ef895 |
completed | May 10, 2026, 5:29 p.m. |
Created at: April 28, 2026, 11:10 a.m.