Triple
T11595997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carpenter |
E275002
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Carpentier
Carpentier is a surname of French origin, historically associated with the occupation of a carpenter.
|
E935832
|
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: Carpentier | Statement: [Carpenter, hasVariant, Carpentier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpentier Context triple: [Carpenter, hasVariant, Carpentier]
-
A.
Ruppert
Ruppert is a masculine given name and surname of Germanic origin, related to the name Rupert.
-
B.
Coutras
Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
-
C.
Takic
Takic is a branch of the Uto-Aztecan language family comprising several closely related Indigenous languages historically spoken in Southern California.
-
D.
Racer Rodriguez
Racer Rodriguez is an American filmmaker and writer, known for co-writing the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D" with his father, director Robert Rodriguez.
-
E.
Giancarlo
Giancarlo is an Italian masculine given name commonly used in Italy and among Italian 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: Carpentier Triple: [Carpenter, hasVariant, Carpentier]
Generated description
Carpentier is a surname of French origin, historically associated with the occupation of a carpenter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carpentier Target entity description: Carpentier is a surname of French origin, historically associated with the occupation of a carpenter.
-
A.
Ruppert
Ruppert is a masculine given name and surname of Germanic origin, related to the name Rupert.
-
B.
Coutras
Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
-
C.
Takic
Takic is a branch of the Uto-Aztecan language family comprising several closely related Indigenous languages historically spoken in Southern California.
-
D.
Racer Rodriguez
Racer Rodriguez is an American filmmaker and writer, known for co-writing the family adventure film "The Adventures of Sharkboy and Lavagirl in 3-D" with his father, director Robert Rodriguez.
-
E.
Giancarlo
Giancarlo is an Italian masculine given name commonly used in Italy and among Italian 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7b72c888190b069d0ebaebd31d9 |
completed | April 22, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e8aa378edc8190807451b1855a4502 |
completed | April 22, 2026, 11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e8b05117988190aa029efa250053db |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 8, 2026, 9:38 p.m.