Triple
T12071433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falco |
E287433
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jeanny
Jeanny is a controversial 1985 pop song by Austrian singer Falco, known for its dark narrative and atmospheric, synth-driven sound.
|
E967381
|
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: Jeanny | Statement: [Falco, notableWork, Jeanny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanny Context triple: [Falco, notableWork, Jeanny]
-
A.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
B.
Janey
Janey is a feminine given name, often used as a diminutive or variant of names like Jane or Janie.
-
C.
Margot
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
D.
Margot
Margot is the introspective, conflicted protagonist of the Canadian romantic drama film "Take This Waltz," whose emotional journey explores the complexities of love, desire, and long-term relationships.
-
E.
Marguerite
Marguerite is a talented French sous-chef in the film "The Hundred-Foot Journey," who helps bridge cultural divides through her passion for cuisine and mentorship of the young protagonist.
- 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: Jeanny Triple: [Falco, notableWork, Jeanny]
Generated description
Jeanny is a controversial 1985 pop song by Austrian singer Falco, known for its dark narrative and atmospheric, synth-driven sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeanny Target entity description: Jeanny is a controversial 1985 pop song by Austrian singer Falco, known for its dark narrative and atmospheric, synth-driven sound.
-
A.
Pierrette
Pierrette is a French feminine given name, traditionally considered the female form of Pierre.
-
B.
Janey
Janey is a feminine given name, often used as a diminutive or variant of names like Jane or Janie.
-
C.
Margot
Margot is the introspective, conflicted protagonist of the Canadian romantic drama film "Take This Waltz," whose emotional journey explores the complexities of love, desire, and long-term relationships.
-
D.
Margot
Margot is a feminine given name of French origin, often associated with Margot Frank, the elder sister of diarist Anne Frank.
-
E.
Marguerite
Marguerite is a 2015 French comedy-drama film directed by Xavier Giannoli, loosely inspired by the life of amateur opera singer Florence Foster Jenkins.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045a507081909070ea37173d6f97 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65ccc788190942e16c56f2a495f |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:48 p.m.