Triple
T3497143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astrid Bergès-Frisbey |
E73877
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object |
Syrena
Syrena is the mysterious mermaid character portrayed by Astrid Bergès-Frisbey in "Pirates of the Caribbean: On Stranger Tides."
|
E362622
|
NE FINISHED |
How this triple was built (4 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: Syrena | Statement: [Astrid Bergès-Frisbey, role, Syrena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syrena Context triple: [Astrid Bergès-Frisbey, role, Syrena]
-
A.
Enide
Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
-
B.
Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
-
C.
Ondine
Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
-
D.
Ondine
Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
-
E.
Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Syrena Triple: [Astrid Bergès-Frisbey, role, Syrena]
Generated description
Syrena is the mysterious mermaid character portrayed by Astrid Bergès-Frisbey in "Pirates of the Caribbean: On Stranger Tides."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syrena Target entity description: Syrena is the mysterious mermaid character portrayed by Astrid Bergès-Frisbey in "Pirates of the Caribbean: On Stranger Tides."
-
A.
Enide
Enide is a heroine of Arthurian romance, best known as the loyal and courageous wife of the knight Erec in medieval French literature.
-
B.
Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
-
C.
Ondine
Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
-
D.
Ondine
Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
-
E.
Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
- F. None of above. chosen
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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd16c0081908f13535f459618d1 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d011c0819088245afe03be3c44 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b3745c7304819085a47af79cd738c0 |
completed | March 13, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b374f5999c8190ae48570a412dc6dc |
completed | March 13, 2026, 2:22 a.m. |
Created at: March 8, 2026, 3:18 p.m.