Triple
T18086163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Malcolm |
E432838
|
entity |
| Predicate | relationshipWithAnnShankland |
P130378
|
FINISHED |
| Object | strained |
—
|
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 | Statement: [John Malcolm, relationshipWithAnnShankland, strained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithAnnShankland Context triple: [John Malcolm, relationshipWithAnnShankland, strained]
-
A.
hasPoliticalRelationshipWith
Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
-
B.
relationshipTypeWithShaneMcCutcheon
Indicates the specific nature or category of relationship that an entity has with Shane McCutcheon.
-
C.
relationshipWithKat Barton
Indicates the existence or nature of a relationship that an entity has with Kat Barton.
-
D.
relationshipTypeWithGingerMcKenna
Indicates the specific nature or category of relationship an entity has with Ginger McKenna.
-
E.
relationshipToAnnDeever
Indicates the specific interpersonal or familial relationship that an entity has to Ann Deever.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd150ab88190864be2a722d214b8 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:27 a.m.