Triple
T16511739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Franciscans |
E401075
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Motolinia
Motolinia was a 16th-century Franciscan friar and missionary in New Spain, known for his early evangelization of Indigenous peoples and detailed chronicles of the Spanish conquest of Mexico.
|
E1218356
|
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: Motolinia | Statement: [Spanish Franciscans, notableMember, Motolinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motolinia Context triple: [Spanish Franciscans, notableMember, Motolinia]
-
A.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
-
B.
Misearia
Misearia is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
Lachania
Lachania is a traditional seaside village on the southern coast of Rhodes in Greece, known for its restored whitewashed houses and tranquil, picturesque setting.
-
D.
Smutsia
Smutsia is a genus of African ground pangolins known for their protective keratin scales and burrowing lifestyle.
-
E.
Nasuella
Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
- 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: Motolinia Triple: [Spanish Franciscans, notableMember, Motolinia]
Generated description
Motolinia was a 16th-century Franciscan friar and missionary in New Spain, known for his early evangelization of Indigenous peoples and detailed chronicles of the Spanish conquest of Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motolinia Target entity description: Motolinia was a 16th-century Franciscan friar and missionary in New Spain, known for his early evangelization of Indigenous peoples and detailed chronicles of the Spanish conquest of Mexico.
-
A.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
-
B.
Misearia
Misearia is a song featured on the album "New Surrender" by the American rock band Anberlin.
-
C.
Lachania
Lachania is a traditional seaside village on the southern coast of Rhodes in Greece, known for its restored whitewashed houses and tranquil, picturesque setting.
-
D.
Smutsia
Smutsia is a genus of African ground pangolins known for their protective keratin scales and burrowing lifestyle.
-
E.
Nasuella
Nasuella is a small genus of South American carnivorous mammals known as mountain coatis, characterized by their elongated snouts and arboreal habits.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e77d9b081909235cb5ba77d1e29 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060827d988190b2c0c075a49dfde8 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a006133a9148190af5bc0cec8ad6695 |
completed | May 10, 2026, 10:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061c85d5481909628c2fddbcf0d54 |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:14 a.m.