Triple
T10679271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Motte |
E251700
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Adeline |
unclear NED1
|
NE 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: Adeline | Statement: [La Motte, hasRelationshipWith, Adeline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adeline Context triple: [La Motte, hasRelationshipWith, Adeline]
-
A.
Adeline
Adeline is the middle name of Frances Adeline Seward, an American abolitionist and the wife of U.S. Secretary of State William H. Seward.
-
B.
Adeline
Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
-
C.
Adeline
Adeline is the given first name of the renowned English modernist writer Virginia Woolf.
-
D.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
E.
Aline
Aline is a feminine given name of French origin, commonly used in various cultures and languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc03dc4819080a6211a2bfaaf0a |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98885abf88190b54ed9db779d3ff0 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.