Triple
T19268661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wah-Wah |
E481856
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object |
Pierre Kubel
Pierre Kubel is a film producer best known for his work on the French comedy "Wah-Wah."
|
E1368237
|
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: Pierre Kubel | Statement: [Wah-Wah, producedBy, Pierre Kubel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Kubel Context triple: [Wah-Wah, producedBy, Pierre Kubel]
-
A.
Pierre Kezdy
Pierre Kezdy was an American punk rock bassist best known for his work with the influential Chicago band Naked Raygun and other notable punk acts.
-
B.
Philippe Pemezec
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
-
C.
Serge Nubret
Serge Nubret was a renowned French professional bodybuilder and actor, celebrated for his aesthetic physique and prominent role in the golden era of bodybuilding.
-
D.
Boris Dilliès
Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
-
E.
Michel Kelber
Michel Kelber was a French cinematographer known for his work on numerous European films from the 1930s through the 1970s.
- 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: Pierre Kubel Triple: [Wah-Wah, producedBy, Pierre Kubel]
Generated description
Pierre Kubel is a film producer best known for his work on the French comedy "Wah-Wah."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pierre Kubel Target entity description: Pierre Kubel is a film producer best known for his work on the French comedy "Wah-Wah."
-
A.
Pierre Kezdy
Pierre Kezdy was an American punk rock bassist best known for his work with the influential Chicago band Naked Raygun and other notable punk acts.
-
B.
Philippe Pemezec
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
-
C.
Serge Nubret
Serge Nubret was a renowned French professional bodybuilder and actor, celebrated for his aesthetic physique and prominent role in the golden era of bodybuilding.
-
D.
Boris Dilliès
Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
-
E.
Michel Kelber
Michel Kelber was a French cinematographer known for his work on numerous European films from the 1930s through the 1970s.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e70bf7881909674b254e7968b55 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f8b626c819083a31123cd6035cf |
completed | May 15, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071018f61881908ace460b83dac186 |
completed | May 15, 2026, 12:22 p.m. |
Created at: April 10, 2026, 1:29 p.m.