Triple
T21247835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Weis |
E523661
|
entity |
| Predicate | hasFather |
P1908
|
FINISHED |
| Object |
Philippe Weis
Philippe Weis is a wealthy and powerful businessman in the film "In Time," known as the father of Sylvia Weis.
|
E1315379
|
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: Philippe Weis | Statement: [Sylvia Weis, hasFather, Philippe Weis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Weis Context triple: [Sylvia Weis, hasFather, Philippe Weis]
-
A.
Philippe Weis
Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
-
B.
Philippe Kirsch
Philippe Kirsch is a Canadian jurist and diplomat who served as the inaugural president of the International Criminal Court and played a key role in its founding.
-
C.
Philippe Maystadt
Philippe Maystadt was a Belgian politician and economist who served as Belgium’s Minister of Finance and later as president of the European Investment Bank.
-
D.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
-
E.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
- 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: Philippe Weis Triple: [Sylvia Weis, hasFather, Philippe Weis]
Generated description
Philippe Weis is a wealthy and powerful businessman in the film "In Time," known as the father of Sylvia Weis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippe Weis Target entity description: Philippe Weis is a wealthy and powerful businessman in the film "In Time," known as the father of Sylvia Weis.
-
A.
Philippe Weis
chosen
Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
-
B.
Philippe Kirsch
Philippe Kirsch is a Canadian jurist and diplomat who served as the inaugural president of the International Criminal Court and played a key role in its founding.
-
C.
Philippe Maystadt
Philippe Maystadt was a Belgian politician and economist who served as Belgium’s Minister of Finance and later as president of the European Investment Bank.
-
D.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
-
E.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
- F. None of above.
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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359b756c819085480ca4174c53c2 |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e121c4848190af32fcc58dac78c8 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1e8a698819093ed056a1a007aba |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e278b5488190a71119d3c62f64c0 |
completed | May 17, 2026, 3:44 p.m. |
Created at: April 16, 2026, 3:55 p.m.