Triple
T7512054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphonse de Lamartine |
E177543
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jocelyn |
E284174
|
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: Jocelyn | Statement: [Alphonse de Lamartine, notableWork, Jocelyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocelyn Context triple: [Alphonse de Lamartine, notableWork, Jocelyn]
-
A.
Jocelyn
chosen
Jocelyn is a given name commonly used for people of any gender, often associated with the nickname "Jo."
-
B.
Jacklyn
Jacklyn is a feminine given name, typically considered a modern or variant form of Jacqueline.
-
C.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
D.
Madelyn
Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
-
E.
Jocelyn Howard
Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d33960819089a10c1149abf4b2 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84614e8608190b6d683e4402a6275 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:45 p.m.