Triple
T69900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Astor |
E1398
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vincent
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
|
E18457
|
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: Vincent | Statement: [Vincent Astor, givenName, Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Context triple: [Vincent Astor, givenName, Vincent]
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
C.
Diego
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
D.
Gabriel
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
E.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
- 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: Vincent Triple: [Vincent Astor, givenName, Vincent]
Generated description
Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vincent Target entity description: Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
-
C.
Diego
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
D.
Gabriel
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
E.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f045d38819088f5f71e39fa1ee7 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c936a0b48190950c2684055ff591 |
completed | Feb. 28, 2026, 10:53 a.m. |
| NEDg | Description generation | batch_69a2c9b112288190b081ef6ca567e594 |
completed | Feb. 28, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2ca31ebd4819082c59d25a46f872d |
completed | Feb. 28, 2026, 10:57 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.