Triple
T28378496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Take Romance |
E718818
|
entity |
| Predicate | hasNotableRecording |
P1152
|
FINISHED |
| Object |
Monica Zetterlund
Monica Zetterlund was a celebrated Swedish jazz singer and actress renowned for her collaborations with leading jazz musicians and her influential role in Scandinavian jazz.
|
E1815676
|
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: Monica Zetterlund | Statement: [I'll Take Romance, hasNotableRecording, Monica Zetterlund]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Monica Zetterlund Triple: [I'll Take Romance, hasNotableRecording, Monica Zetterlund]
Generated description
Monica Zetterlund was a celebrated Swedish jazz singer and actress renowned for her collaborations with leading jazz musicians and her influential role in Scandinavian jazz.
Provenance (5 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64cb480088190ace9710dfe04cf4c |
completed | May 2, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1632fe44008190a592160d4fa0f1e5 |
completed | May 26, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_6a1633a0bd1881908757c68e04bdc509 |
completed | May 26, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1634122f8c8190af25b6651fd12796 |
completed | May 27, 2026, midnight |
Created at: April 28, 2026, 1:04 a.m.