Triple
T5812691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Lownds |
E128907
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sara Lowndes |
E113873
|
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: Sara Lowndes | Statement: [Sara Lownds, alsoKnownAs, Sara Lowndes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Lowndes Context triple: [Sara Lownds, alsoKnownAs, Sara Lowndes]
-
A.
Sara Lowndes
chosen
Sara Lowndes is an American former model and artist best known as the first wife of musician Bob Dylan and the mother of several of his children.
-
B.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
C.
Sarah Alexander
Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
-
D.
Tasha Bertram
Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
-
E.
P. J. Brown
P. J. Brown is a former American professional basketball player best known for his long NBA career as a defensive-minded power forward and center.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b56044c8190847478a342d441c2 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfb903788190bae497fe72bd1e78 |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:52 p.m.