Triple
T29363220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Northrup Hollister |
E744646
|
entity |
| Predicate | relationshipStatusWithLRonHubbard |
P203156
|
FINISHED |
| Object | estranged |
—
|
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: estranged | Statement: [Sara Northrup Hollister, relationshipStatusWithLRonHubbard, estranged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithLRonHubbard Context triple: [Sara Northrup Hollister, relationshipStatusWithLRonHubbard, estranged]
-
A.
relationshipToLloyd
Indicates the specific type of personal or social relationship an entity has with Lloyd.
-
B.
relationshipTypeWithGraceHanson
Indicates the specific nature or category of relationship an entity has with Grace Hanson.
-
C.
relationshipToLouisHinds
Indicates the specific familial, social, or professional relationship that an entity has to Louis Hinds.
-
D.
relationshipTypeWithHudBannon
Indicates the specific nature or category of relationship that an entity has with the person or entity named Hud Bannon.
-
E.
relationshipStatusWithHoward
Indicates the type or state of the relationship an entity currently has with Howard.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a012efebda88190a90c8f650e4b1ee9 |
completed | May 11, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_6a01298cc604819087c836659c128926 |
completed | May 11, 2026, 12:57 a.m. |
| PDg | Predicate description generation | batch_6a012efdf4f08190a006136f7b48da15 |
completed | May 11, 2026, 1:21 a.m. |
Created at: April 28, 2026, 2:20 p.m.