Triple
T28666888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Wayland Thurston |
E725607
|
entity |
| Predicate | relationshipToGeorge Gammell Angell |
P202031
|
FINISHED |
| Object | grandnephew |
—
|
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: grandnephew | Statement: [Francis Wayland Thurston, relationshipToGeorge Gammell Angell, grandnephew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGeorge Gammell Angell Context triple: [Francis Wayland Thurston, relationshipToGeorge Gammell Angell, grandnephew]
-
A.
relationshipToGeorgePage
Indicates the specific familial, social, or professional relationship that an entity has to George Page.
-
B.
relationshipTypeWithRobertAngier
Indicates the specific nature or category of relationship that an entity has with Robert Angier.
-
C.
relationshipToGeorgeWilson
Indicates the specific nature of the relationship or connection that an entity has to George Wilson.
-
D.
relationshipToGeorgeCooperSr
Indicates the specific familial or personal relationship an entity has to George Cooper Sr.
-
E.
relationshipToGeorgeDeever
Indicates the specific familial, romantic, or social connection that one entity has to George 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_6a004868cf308190a2a93c32c92f22d9 |
completed | May 10, 2026, 8:57 a.m. |
Created at: April 28, 2026, 5:01 a.m.