Triple
T9701657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Susan Stewart |
E234790
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Susan |
E771423
|
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: Susan | Statement: [Lady Susan Stewart, givenName, Susan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Context triple: [Lady Susan Stewart, givenName, Susan]
-
A.
Susan
Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
-
B.
Susan
Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
-
C.
Susan
Susan is the given name of American painter and photographer Susan Macdowell Eakins, known for her portraits and still lifes.
-
D.
Susan
Susan is the birth name of Suzy Amis Cameron, an American actress-turned-environmental advocate and author.
-
E.
Susan
chosen
Susan is the given name of Susan Cunliffe-Lister, Dowager Countess of Swinton, a British aristocrat and public figure.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.