Triple
T12866545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manne Dipico |
E307733
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dipico
Dipico is a surname of likely African origin, notably borne by South African politician Manne Dipico.
|
E1006999
|
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: Dipico | Statement: [Manne Dipico, familyName, Dipico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dipico Context triple: [Manne Dipico, familyName, Dipico]
-
A.
Papico
Papico is a popular Japanese squeezable ice cream treat known for its twin plastic tube packaging and creamy, milkshake-like texture.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Nasipit
Nasipit is a coastal municipality in the province of Agusan del Norte in the Philippines, known for its port and maritime activities.
-
D.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
-
E.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
- 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: Dipico Triple: [Manne Dipico, familyName, Dipico]
Generated description
Dipico is a surname of likely African origin, notably borne by South African politician Manne Dipico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dipico Target entity description: Dipico is a surname of likely African origin, notably borne by South African politician Manne Dipico.
-
A.
Papico
Papico is a popular Japanese squeezable ice cream treat known for its twin plastic tube packaging and creamy, milkshake-like texture.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Nasipit
Nasipit is a coastal municipality in the province of Agusan del Norte in the Philippines, known for its port and maritime activities.
-
D.
Orohena
Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
-
E.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708e0b788190b72a3057e271c227 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d7984d48190adf5409a1ac7346a |
completed | May 3, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e2abc38819095ff4977f2df9b2b |
completed | May 3, 2026, 1 a.m. |
Created at: April 9, 2026, 5:38 p.m.