Triple
T4676748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Malvar |
E103699
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Malvar
Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
|
E460324
|
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: Malvar | Statement: [Miguel Malvar, familyName, Malvar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvar Context triple: [Miguel Malvar, familyName, Malvar]
-
A.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Milson
Milson is a residential suburb located in the city of Palmerston North, New Zealand.
-
D.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
E.
Sharman
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
- 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: Malvar Triple: [Miguel Malvar, familyName, Malvar]
Generated description
Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malvar Target entity description: Malvar is a Filipino surname most notably associated with General Miguel Malvar, a key revolutionary leader during the Philippine–American War.
-
A.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
B.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
C.
Milson
Milson is a residential suburb located in the city of Palmerston North, New Zealand.
-
D.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
E.
Sharman
Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63685cb88190ac1904e2c7eb6b61 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a0d5c88190a9b40e1ca7d165ff |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be04f8aeac81909ec199c83af6df39 |
completed | March 21, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05608ee08190acf947144998660c |
completed | March 21, 2026, 2:41 a.m. |
Created at: March 20, 2026, 1:16 p.m.