Triple
T11610430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felino Palafox Sr. |
E275368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Felino
Felino is a given name most notably borne by Filipino architect and urban planner Felino Palafox Sr.
|
E936584
|
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: Felino | Statement: [Felino Palafox Sr., givenName, Felino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felino Context triple: [Felino Palafox Sr., givenName, Felino]
-
A.
Felis
Felis is a genus of small to medium-sized cats that includes the domestic cat and several closely related wild species.
-
B.
Bobcat
Bobcat is a hip-hop music producer known for his work on projects such as "Strictly 4 My N.I.G.G.A.Z..." and collaborations within the West Coast rap scene.
-
C.
Bobcat
Bobcat is the wild feline species that serves as the official mascot of New York University and is known for its agility and adaptability across North America.
-
D.
Bobcat
Bobcat is a well-known manufacturer of compact construction and agricultural equipment, particularly recognized for its skid-steer loaders and other versatile machinery.
-
E.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
- 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: Felino Triple: [Felino Palafox Sr., givenName, Felino]
Generated description
Felino is a given name most notably borne by Filipino architect and urban planner Felino Palafox Sr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Felino Target entity description: Felino is a given name most notably borne by Filipino architect and urban planner Felino Palafox Sr.
-
A.
Felis
Felis is a genus of small to medium-sized cats that includes the domestic cat and several closely related wild species.
-
B.
Bobcat
Bobcat is a hip-hop music producer known for his work on projects such as "Strictly 4 My N.I.G.G.A.Z..." and collaborations within the West Coast rap scene.
-
C.
Bobcat
Bobcat is the wild feline species that serves as the official mascot of New York University and is known for its agility and adaptability across North America.
-
D.
Bobcat
Bobcat is a well-known manufacturer of compact construction and agricultural equipment, particularly recognized for its skid-steer loaders and other versatile machinery.
-
E.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8311bcc8190a3fe7d28c593aea3 |
completed | April 22, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69e8af9665648190b7732076aa129671 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b3a3720819095a4a87176e052cb |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.