Triple
T5246446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Force prison |
E118470
|
entity |
| Predicate | hadSection |
P37078
|
FINISHED |
| Object |
Grande Force
Grande Force was a principal section of Paris’s historic La Force prison, known for holding male prisoners during the Ancien Régime and the French Revolution.
|
E505344
|
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: Grande Force | Statement: [La Force prison, hadSection, Grande Force]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grande Force Context triple: [La Force prison, hadSection, Grande Force]
-
A.
Full Force
Full Force is an American R&B and hip hop production and songwriting group known for crafting hits for artists like Lisa Lisa and Cult Jam, UTFO, and early-career Rihanna.
-
B.
Força
"Força" is a pop song by Nelly Furtado that gained wide recognition as the anthem associated with UEFA Euro 2004.
-
C.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
D.
The Mighty
The Mighty is a 1998 drama film about the friendship between two misfit boys, based on the novel "Freak the Mighty" by Rodman Philbrick.
-
E.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
- 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: Grande Force Triple: [La Force prison, hadSection, Grande Force]
Generated description
Grande Force was a principal section of Paris’s historic La Force prison, known for holding male prisoners during the Ancien Régime and the French Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grande Force Target entity description: Grande Force was a principal section of Paris’s historic La Force prison, known for holding male prisoners during the Ancien Régime and the French Revolution.
-
A.
Full Force
Full Force is an American R&B and hip hop production and songwriting group known for crafting hits for artists like Lisa Lisa and Cult Jam, UTFO, and early-career Rihanna.
-
B.
Força
"Força" is a pop song by Nelly Furtado that gained wide recognition as the anthem associated with UEFA Euro 2004.
-
C.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
D.
The Mighty
The Mighty is a 1998 drama film about the friendship between two misfit boys, based on the novel "Freak the Mighty" by Rodman Philbrick.
-
E.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b5320748190bcf3be4b6c364f92 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef832ae8481908a90faf66c1db631 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef91bb96c819098b7f6bfa578d9ca |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9dc9c908190aac0f7bcaf427dfc |
completed | March 21, 2026, 8:04 p.m. |
Created at: March 20, 2026, 1:50 p.m.