Triple
T23979352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Hipwell |
E604461
|
entity |
| Predicate | relationshipTypeWithScottHipwell |
P154109
|
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: [Megan Hipwell, relationshipTypeWithScottHipwell, strained marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithScottHipwell Context triple: [Megan Hipwell, relationshipTypeWithScottHipwell, strained marriage]
-
A.
relationshipToScottieFerguson
Indicates the nature or type of connection an entity has to Scottie Ferguson, such as familial, social, professional, or other relational ties.
-
B.
relationshipTypeWithNickWells
Indicates the specific nature or category of relationship that an entity has with Nick Wells.
-
C.
relationshipTypeWithSeanBoswell
Indicates the specific nature or category of relationship that an entity has with Sean Boswell.
-
D.
relationshipTypeWithJohnMurdoch
Indicates the specific nature or category of the relationship that an entity has with John Murdoch.
-
E.
relationshipToBenWhittaker
Indicates the specific nature of the relationship an entity has with Ben Whittaker.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bc79688190bc98a2d57b91f5a3 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:27 p.m.