Triple
T18593478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susie Hennessy |
E454428
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Susie |
—
|
NE NERFINISHED |
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: Susie | Statement: [Susie Hennessy, givenName, Susie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susie Context triple: [Susie Hennessy, givenName, Susie]
-
A.
Susie
chosen
Susie is a common diminutive or nickname for the female given name Susanna.
-
B.
Susie
Susie is a recurring character from the animated television series "Family Guy," known as the infant daughter of Joe and Bonnie Swanson.
-
C.
Susie
Susie is a person whose full name is Susie Fairfield Dryden.
-
D.
Suzie
Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
-
E.
Susy
Susy is the nickname of Susy Clemens, the daughter of American author Mark Twain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b7ce3881908302ee27a2cf80d6 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.