Triple
T25887028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reese |
E652217
|
entity |
| Predicate | relationshipToFrancis |
P194115
|
FINISHED |
| Object | younger brother |
—
|
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: younger brother | Statement: [Reese, relationshipToFrancis, younger brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFrancis Context triple: [Reese, relationshipToFrancis, younger brother]
-
A.
relationshipToFrederic
Indicates the specific type of relationship or connection an entity has to the person named Frederic.
-
B.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
-
C.
relationshipToMary
Indicates that one entity stands in a specified personal or social relationship to Mary.
-
D.
relationshipToAnne
Indicates the specific familial, social, or interpersonal connection that one entity has to Anne.
-
E.
relationToStephenI
Indicates a familial or social relationship that an entity has specifically with Stephen I.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: April 22, 2026, 8:18 a.m.