Triple
T13221971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadbeat |
E314776
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Sarah Esberg |
E151328
|
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: Sarah Esberg | Statement: [Deadbeat, executiveProducer, Sarah Esberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Esberg Context triple: [Deadbeat, executiveProducer, Sarah Esberg]
-
A.
Sara Esberg
chosen
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
B.
Alexandra Bergson
Alexandra Bergson is the resilient, visionary Swedish-American pioneer who transforms her family's Nebraska farm into a thriving enterprise in Willa Cather's novel "O Pioneers!".
-
C.
Laura Holmgren
Laura Holmgren is the wife of American political scientist and author Francis Fukuyama.
-
D.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Anne Borg
Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f15a99c8190b70a3e2a55e67a4e |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:18 p.m.