Triple
T15927203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remy Danton |
E386232
|
entity |
| Predicate | romanticallyInvolvedWith |
P9994
|
FINISHED |
| Object | Jackie Sharp |
E611260
|
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: Jackie Sharp | Statement: [Remy Danton, romanticallyInvolvedWith, Jackie Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackie Sharp Context triple: [Remy Danton, romanticallyInvolvedWith, Jackie Sharp]
-
A.
Jackie Irving
Jackie Irving is a British former actress best known for being married to English pop singer and actor Adam Faith.
-
B.
Jackie Green
Jackie Green is an individual associated with the Green family, known primarily as one of its members.
-
C.
Jackie Young
Jackie Young is an actor known for appearing in the Hardy Boys film "Out West with the Hardys."
-
D.
Jackie Young
Jackie Young is an American professional basketball player and WNBA All-Star who starred at the University of Notre Dame, helping lead the Fighting Irish to a national championship.
-
E.
Jacqueline Sharp
chosen
Jacqueline Sharp is a driven and politically ambitious congresswoman and military veteran in the U.S. version of the television series "House of Cards."
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.