Triple
T10782528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coquette |
E254361
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bodil Rosing |
E260609
|
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: Bodil Rosing | Statement: [Coquette, starring, Bodil Rosing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodil Rosing Context triple: [Coquette, starring, Bodil Rosing]
-
A.
Bodil Rosing
chosen
Bodil Rosing was a Danish-American character actress of the silent and early sound film era, known for her maternal and domestic roles in numerous Hollywood productions.
-
B.
Ingebrigt Steen Jensen
Ingebrigt Steen Jensen is a Norwegian advertising executive, author, and football enthusiast best known for his influential role in developing and promoting the Stabæk Fotball club.
-
C.
Bodil Ipsen Christensen
Bodil Ipsen Christensen is a Danish individual notable enough to be recognized as a prominent bearer of the surname Christensen.
-
D.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
E.
Preben Kaas
Preben Kaas was a Danish actor, comedian, and film director known for his prominent roles in Danish cinema and television during the mid-20th century.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c5618081908f72838ed42ed05c |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0c85d288190b13b1bc66921332c |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:17 p.m.