Triple
T16496867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Vanel |
E400705
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vanel
Vanel is a French surname most notably associated with Charles Vanel, a prominent 20th-century French actor and film director.
|
E1216264
|
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: Vanel | Statement: [Charles Vanel, familyName, Vanel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanel Context triple: [Charles Vanel, familyName, Vanel]
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Nouel
Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
-
C.
Vanne
Vanne is a river in north-central France that serves as a tributary of the Yonne.
-
D.
Valsayn
Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
-
E.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
- 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: Vanel Triple: [Charles Vanel, familyName, Vanel]
Generated description
Vanel is a French surname most notably associated with Charles Vanel, a prominent 20th-century French actor and film director.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanel Target entity description: Vanel is a French surname most notably associated with Charles Vanel, a prominent 20th-century French actor and film director.
-
A.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
B.
Nouel
Nouel is a track from Laura Marling’s 2017 folk album "Semper Femina," noted for its introspective lyrics and delicate acoustic arrangement.
-
C.
Vanne
Vanne is a river in north-central France that serves as a tributary of the Yonne.
-
D.
Valsayn
Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
-
E.
Vallon
Vallon is a small municipality in the canton of Fribourg in western Switzerland.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059bf355c81909d6796482fe7f3e3 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.