Triple
T22620785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Haardt |
E558271
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sara Haardt |
—
|
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: Sara Haardt | Statement: [Sara Haardt, name, Sara Haardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Haardt Context triple: [Sara Haardt, name, Sara Haardt]
-
A.
Sara Haardt
chosen
Sara Haardt was an American writer and English professor known for her short stories and essays, as well as for her marriage to journalist and critic H. L. Mencken.
-
B.
Sara Lumholdt
Sara Lumholdt is a Swedish pop singer best known as a vocalist in the teen pop group A-Teens, which rose to fame in the late 1990s and early 2000s.
-
C.
Erika Henningsen
Erika Henningsen is an American stage actress and singer best known for originating the role of Cady Heron in the Broadway musical adaptation of "Mean Girls."
-
D.
Sara Haden
Sara Haden was an American character actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including several entries in the Andy Hardy series.
-
E.
Sara Hess
Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.