Triple
T26315531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Goldman |
E661961
|
entity |
| Predicate | relationshipWithJohnGustafsonJr. |
P196384
|
FINISHED |
| Object | feuding neighbor |
—
|
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: feuding neighbor | Statement: [Max Goldman, relationshipWithJohnGustafsonJr., feuding neighbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithJohnGustafsonJr. Context triple: [Max Goldman, relationshipWithJohnGustafsonJr., feuding neighbor]
-
A.
relationshipToJohnJuergens
Indicates the specific familial, social, or professional connection that an entity has to John Juergens.
-
B.
relationshipToJohnAndrewLast
Indicates a familial or social relationship that an entity has specifically to John Andrew Last.
-
C.
relationshipTypeWithJohnLuther
Indicates the specific nature or category of the relationship an entity has with John Luther.
-
D.
relationshipTypeWithJohnHartigan
Indicates the specific nature or category of relationship that an entity has with John Hartigan.
-
E.
relationshipTypeWithJohnMurdoch
Indicates the specific nature or category of the relationship that an entity has with John Murdoch.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69fe30bb07d08190877539d5aa202d24 |
completed | May 8, 2026, 6:51 p.m. |
Created at: April 26, 2026, 10:24 p.m.