Triple
T6262574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod La Rocque |
E140335
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
La Rocque
La Rocque is the surname of Rod La Rocque, an American actor prominent during the silent and early sound film eras.
|
E593867
|
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: La Rocque | Statement: [Rod La Rocque, familyName, La Rocque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Rocque Context triple: [Rod La Rocque, familyName, La Rocque]
-
A.
Gambetta
Gambetta is a French surname most famously associated with Léon Gambetta, a prominent 19th-century French statesman and republican leader.
-
B.
Georges Catroux
Georges Catroux was a French general and diplomat who became a prominent leader in the Free French movement during World War II.
-
C.
Jean-Baptiste Darlan
Jean-Baptiste Darlan was a French politician and lawyer who served as Minister of Justice and played a significant role in the Third Republic.
-
D.
Jacques Leroy de Saint-Arnaud
Jacques Leroy de Saint-Arnaud was a French Marshal and Minister of War best known for commanding French forces during the early stages of the Crimean War.
-
E.
De Castellane
De Castellane is a historic Champagne producer based in Épernay, France, known for its distinctive tower and traditional sparkling wines.
- 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: La Rocque Triple: [Rod La Rocque, familyName, La Rocque]
Generated description
La Rocque is the surname of Rod La Rocque, an American actor prominent during the silent and early sound film eras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Rocque Target entity description: La Rocque is the surname of Rod La Rocque, an American actor prominent during the silent and early sound film eras.
-
A.
Gambetta
Gambetta is a French surname most famously associated with Léon Gambetta, a prominent 19th-century French statesman and republican leader.
-
B.
Georges Catroux
Georges Catroux was a French general and diplomat who became a prominent leader in the Free French movement during World War II.
-
C.
Jean-Baptiste Darlan
Jean-Baptiste Darlan was a French politician and lawyer who served as Minister of Justice and played a significant role in the Third Republic.
-
D.
Jacques Leroy de Saint-Arnaud
Jacques Leroy de Saint-Arnaud was a French Marshal and Minister of War best known for commanding French forces during the early stages of the Crimean War.
-
E.
De Castellane
De Castellane is a historic Champagne producer based in Épernay, France, known for its distinctive tower and traditional sparkling wines.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06386a7b48190b032edd12078c5bc |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64ba358748190b7c4dbf31e94b02d |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64c5e5e5c8190b24aea7e4114daa5 |
completed | March 27, 2026, 9:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64da81a0881908fc5716aeb0e47fa |
completed | March 27, 2026, 9:28 a.m. |
Created at: March 22, 2026, 4:25 p.m.