Triple
T7052999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaine Mason |
E164012
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elaine |
E430940
|
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: Elaine | Statement: [Elaine Mason, givenName, Elaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Context triple: [Elaine Mason, givenName, Elaine]
-
A.
Elaine
"Elaine" is the B-side track to ABBA's hit single "The Winner Takes It All," known among fans as one of the group's lesser-known pop songs.
-
B.
Elaine
chosen
Elaine is the given name of Elaine Mendoza Erfe, better known as the wife of comedian and television host Jimmy Kimmel.
-
C.
Elaine
Elaine is the middle name of Lori Lightfoot, the former mayor of Chicago.
-
D.
Elaine Benson
Elaine Benson was an American art dealer and gallery owner known for her influential role in the Hamptons art scene.
-
E.
Elaine Mason
Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2515bb48190ac0efed0dd4252ad |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7944535bc819086b7648d95b81e37 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.