Triple
T35878132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Boland |
E1037425
|
entity |
| Predicate | relationshipWithBethBoland |
P192822
|
FINISHED |
| Object | strained marriage |
—
|
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: strained marriage | Statement: [Dean Boland, relationshipWithBethBoland, strained marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithBethBoland Context triple: [Dean Boland, relationshipWithBethBoland, strained marriage]
-
A.
relationshipToBeth
chosen
Indicates the specific type of relationship or connection that an entity has to Beth.
-
B.
relationshipWithKateMoseley
Indicates that one entity has a specified type of relationship or connection with Kate Moseley.
-
C.
relationshipTypeWithSeanBoswell
Indicates the specific nature or category of relationship that an entity has with Sean Boswell.
-
D.
relationshipWithKat Barton
Indicates the existence or nature of a relationship that an entity has with Kat Barton.
-
E.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.