Triple
T35015779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmworld Jake |
E1010048
|
entity |
| Predicate | relationshipToJakeTheDog |
P206808
|
FINISHED |
| Object | alternate-universe version |
—
|
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: alternate-universe version | Statement: [Farmworld Jake, relationshipToJakeTheDog, alternate-universe version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJakeTheDog Context triple: [Farmworld Jake, relationshipToJakeTheDog, alternate-universe version]
-
A.
relationshipTypeWithJakeBarnes
Indicates the specific nature or category of relationship that an entity has with Jake Barnes.
-
B.
relationshipWithJakeHarper
Indicates that one entity has some form of relationship or connection with Jake Harper.
-
C.
relationshipToJack
Indicates the specific type of personal or social connection an entity has with Jack.
-
D.
relationshipToJakePeralta
Indicates the specific type of personal or professional relationship an entity has with Jake Peralta.
-
E.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
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_6a0379ff1ba081908eda86acefcf69fb |
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, 4:01 p.m.