Triple
T3952123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Arau |
E84887
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Arau
Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
|
E402533
|
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: Arau | Statement: [Alfonso Arau, familyName, Arau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arau Context triple: [Alfonso Arau, familyName, Arau]
-
A.
Arau
Arau is a small Malaysian town that serves as the royal seat of the state of Perlis and is known for its palace and role in state ceremonies.
-
B.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
C.
Apure State
Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
-
D.
San Luis Province
San Luis Province is an inland province of central Argentina known for its arid landscapes, sierras, and growing tourism and agricultural sectors.
-
E.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
- 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: Arau Triple: [Alfonso Arau, familyName, Arau]
Generated description
Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arau Target entity description: Arau is the surname of Mexican filmmaker and actor Alfonso Arau, known for works such as "Like Water for Chocolate."
-
A.
Arau
Arau is a small Malaysian town that serves as the royal seat of the state of Perlis and is known for its palace and role in state ceremonies.
-
B.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
-
C.
Apure State
Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
-
D.
San Luis Province
San Luis Province is an inland province of central Argentina known for its arid landscapes, sierras, and growing tourism and agricultural sectors.
-
E.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef939d1308190930dc2c8272eafa4 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a80d4c8190bb1aac1b2900d9a8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5341fb74081909a33753e5fdd5c32 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534d279548190bee44aea7828ed3b |
completed | March 14, 2026, 10:13 a.m. |
Created at: March 9, 2026, 3:30 p.m.