Triple
T3987614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White |
E86909
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
LeBlanc
LeBlanc is a French surname meaning “the white,” commonly borne by people of French or Francophone heritage.
|
E404074
|
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: LeBlanc | Statement: [White, hasCognate, LeBlanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeBlanc Context triple: [White, hasCognate, LeBlanc]
-
A.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
B.
Gaillard
Gaillard is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border by Geneva.
-
C.
McAuliffe
McAuliffe is a surname most famously associated with Christa McAuliffe, the American teacher selected as the first private citizen in space who died in the 1986 Space Shuttle Challenger disaster.
-
D.
Bobby Jindal
Bobby Jindal is an American politician who served as the governor of Louisiana and was a prominent Republican figure and presidential candidate.
-
E.
Van Robichaux
Van Robichaux is an American screenwriter best known for co-writing the comedy film "Fist Fight" and working on various television and film projects.
- 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: LeBlanc Triple: [White, hasCognate, LeBlanc]
Generated description
LeBlanc is a French surname meaning “the white,” commonly borne by people of French or Francophone heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LeBlanc Target entity description: LeBlanc is a French surname meaning “the white,” commonly borne by people of French or Francophone heritage.
-
A.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
B.
Gaillard
Gaillard is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border by Geneva.
-
C.
McAuliffe
McAuliffe is a surname most famously associated with Christa McAuliffe, the American teacher selected as the first private citizen in space who died in the 1986 Space Shuttle Challenger disaster.
-
D.
Bobby Jindal
Bobby Jindal is an American politician who served as the governor of Louisiana and was a prominent Republican figure and presidential candidate.
-
E.
Van Robichaux
Van Robichaux is an American screenwriter best known for co-writing the comedy film "Fist Fight" and working on various television and film projects.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9ff54708190be56f48569ce97a4 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5402f72e8819097ce951aac465dc8 |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b54111e5188190ab8ec23124c22981 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54195261c8190a155b3c0469b0a35 |
completed | March 14, 2026, 11:08 a.m. |
Created at: March 9, 2026, 3:33 p.m.