Triple
T28776577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Bertram |
E726548
|
entity |
| Predicate | relationshipToLadyBertram |
P202368
|
FINISHED |
| Object | Younger son |
—
|
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 son | Statement: [Edmund Bertram, relationshipToLadyBertram, Younger son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToLadyBertram Context triple: [Edmund Bertram, relationshipToLadyBertram, Younger son]
-
A.
relationshipToSirThomasBertram
Indicates a familial or social connection that a person has to Sir Thomas Bertram.
-
B.
relationshipToMarianneDashwood
Indicates the specific familial, social, or emotional connection that an entity has to Marianne Dashwood.
-
C.
relationshipToElizabethBennet
Indicates the specific familial, social, or interpersonal connection that an entity has to Elizabeth Bennet.
-
D.
relationshipToEmmaWoodhouse
Indicates the specific interpersonal or familial connection that an entity has to Emma Woodhouse.
-
E.
relationshipToLordEmsworth
Indicates the specific social or familial relationship that an entity has to Lord Emsworth.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a00776c4ebc8190899005fda34234d5 |
completed | May 10, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_6a0076f8a4c4819093ed577e67aa38f9 |
completed | May 10, 2026, 12:15 p.m. |
| PDg | Predicate description generation | batch_6a00776b69908190a431a48cc5e7dba9 |
completed | May 10, 2026, 12:17 p.m. |
Created at: April 28, 2026, 6:18 a.m.