Triple
T12903102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Barrett Moulton-Barrett |
E308657
|
entity |
| Predicate | disapprovedOf |
P107359
|
FINISHED |
| Object | Elizabeth Barrett Browning's marriage to Robert Browning |
—
|
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: Elizabeth Barrett Browning's marriage to Robert Browning | Statement: [Edward Barrett Moulton-Barrett, disapprovedOf, Elizabeth Barrett Browning's marriage to Robert Browning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disapprovedOf Context triple: [Edward Barrett Moulton-Barrett, disapprovedOf, Elizabeth Barrett Browning's marriage to Robert Browning]
-
A.
rejectedIn
Indicates that an entity or proposal was not accepted or was turned down within a specific context, process, or location.
-
B.
rejectedBy
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
C.
rejectedBecause
Indicates that one entity refused, dismissed, or did not accept another entity specifically due to a stated reason or cause.
-
D.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
E.
rejectedConcept
Indicates that one entity has refused to accept, approve, or adopt a particular concept proposed by another entity.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.