Triple
T21244291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Boulogne-sur-Mer |
E523561
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Samer
Samer is a small commune in northern France located within the Pas-de-Calais department.
|
E1472908
|
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: Samer | Statement: [arrondissement of Boulogne-sur-Mer, contains, Samer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samer Context triple: [arrondissement of Boulogne-sur-Mer, contains, Samer]
-
A.
Samir
Samir is a fictional character portrayed by Indian actor Suraj Sharma, best known for his breakout role in the film "Life of Pi."
-
B.
Samir
Samir is a masculine given name of Arabic origin commonly used across the Middle East and other regions.
-
C.
Nadim
Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
-
D.
Eli Samaha
Eli Samaha is an American film producer known for financing and producing a range of Hollywood genre films, often through independent and mid-budget studio projects.
-
E.
Wael
Wael is an Arabic male given name commonly used in the Middle East and among Arabic-speaking communities worldwide.
- 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: Samer Triple: [arrondissement of Boulogne-sur-Mer, contains, Samer]
Generated description
Samer is a small commune in northern France located within the Pas-de-Calais department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samer Target entity description: Samer is a small commune in northern France located within the Pas-de-Calais department.
-
A.
Samir
Samir is a fictional character portrayed by Indian actor Suraj Sharma, best known for his breakout role in the film "Life of Pi."
-
B.
Samir
Samir is a masculine given name of Arabic origin commonly used across the Middle East and other regions.
-
C.
Nadim
Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
-
D.
Eli Samaha
Eli Samaha is an American film producer known for financing and producing a range of Hollywood genre films, often through independent and mid-budget studio projects.
-
E.
Wael
Wael is an Arabic male given name commonly used in the Middle East and among Arabic-speaking communities worldwide.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986f705808190ba3a85d2dacb8818 |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a0988086a648190856057c1327a6ab1 |
completed | May 17, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0988d4ada081909fe532955b204b94 |
completed | May 17, 2026, 9:22 a.m. |
Created at: April 16, 2026, 3:47 p.m.