Triple
T16049597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregorio del Pilar |
E389317
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
del Pilar
del Pilar is a Filipino surname notably borne by several prominent figures in Philippine history and culture.
|
E1191315
|
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: del Pilar | Statement: [Gregorio del Pilar, familyName, del Pilar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: del Pilar Context triple: [Gregorio del Pilar, familyName, del Pilar]
-
A.
de Velasco
De Velasco is a Spanish surname historically associated with notable figures such as naval officer Luis Vicente de Velasco e Isla.
-
B.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
C.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
D.
Aguedo del Rosario
Aguedo del Rosario was a Filipino revolutionary associated with the Katipunan movement against Spanish colonial rule.
-
E.
La Cabrera
La Cabrera is a locality in Spain’s Province of León, known for its rural character and setting within the mountainous landscapes of northwestern Castile and León.
- 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: del Pilar Triple: [Gregorio del Pilar, familyName, del Pilar]
Generated description
del Pilar is a Filipino surname notably borne by several prominent figures in Philippine history and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: del Pilar Target entity description: del Pilar is a Filipino surname notably borne by several prominent figures in Philippine history and culture.
-
A.
de Velasco
De Velasco is a Spanish surname historically associated with notable figures such as naval officer Luis Vicente de Velasco e Isla.
-
B.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
C.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
D.
Aguedo del Rosario
Aguedo del Rosario was a Filipino revolutionary associated with the Katipunan movement against Spanish colonial rule.
-
E.
La Cabrera
La Cabrera is a locality in Spain’s Province of León, known for its rural character and setting within the mountainous landscapes of northwestern Castile and León.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361083c8190abc84534265dc992 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe095908190ba10399ad6f3b5f8 |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdcdb551c8190b367407b749314e8 |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffddbfaf088190a644e7898f995c1d |
completed | May 10, 2026, 1:22 a.m. |
Created at: April 10, 2026, 4:56 a.m.