Triple
T15160284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Amoros |
E362192
|
entity |
| Predicate | youthClub |
P1088
|
FINISHED |
| Object |
US Nîmes
US Nîmes is a French football club based in Nîmes that is known for developing players such as future international defender Manuel Amoros in its youth system.
|
E1140778
|
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: US Nîmes | Statement: [Manuel Amoros, youthClub, US Nîmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US Nîmes Context triple: [Manuel Amoros, youthClub, US Nîmes]
-
A.
Colonie
Colonie is a large suburban town in eastern New York State that serves as one of the primary residential and commercial communities in the Albany metropolitan area.
-
B.
Fontana Beausoleil
Fontana Beausoleil is a fictional character from the American television sitcom "Evening Shade."
-
C.
Aimes
Aimes is a character appearing in the action film "Fast X" from the Fast & Furious franchise.
-
D.
UNO City
UNO City is a major United Nations complex in Vienna that hosts several UN organizations and international agencies.
-
E.
Boustany
Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
- 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: US Nîmes Triple: [Manuel Amoros, youthClub, US Nîmes]
Generated description
US Nîmes is a French football club based in Nîmes that is known for developing players such as future international defender Manuel Amoros in its youth system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: US Nîmes Target entity description: US Nîmes is a French football club based in Nîmes that is known for developing players such as future international defender Manuel Amoros in its youth system.
-
A.
Colonie
Colonie is a large suburban town in eastern New York State that serves as one of the primary residential and commercial communities in the Albany metropolitan area.
-
B.
Fontana Beausoleil
Fontana Beausoleil is a fictional character from the American television sitcom "Evening Shade."
-
C.
Aimes
Aimes is a character appearing in the action film "Fast X" from the Fast & Furious franchise.
-
D.
UNO City
UNO City is a major United Nations complex in Vienna that hosts several UN organizations and international agencies.
-
E.
Boustany
Boustany is a surname of Lebanese origin notably associated with several prominent political and professional families, particularly in the United States and Lebanon.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060dd71881908ecc4a4f52d438a5 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffaa4b88190aab36fdae057e6d2 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec23c83ac819087633c0f64e50506 |
completed | May 9, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec2f95a408190850e4d81839822ba |
completed | May 9, 2026, 5:15 a.m. |
Created at: April 10, 2026, 3:08 a.m.