Triple
T6309720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Piar |
E141468
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Piar
Piar is a surname most notably associated with Manuel Piar, a key military leader in the Venezuelan War of Independence.
|
E584358
|
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: Piar | Statement: [Manuel Piar, familyName, Piar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piar Context triple: [Manuel Piar, familyName, Piar]
-
A.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
B.
Peren
Peren is a town and administrative center in the northeastern Indian state of Nagaland.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Piore
Piore is the surname of Emanuel R. Piore, a notable physicist and research director associated with major advancements in industrial and defense-related science in the 20th century.
-
E.
Pooncarie
Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
- 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: Piar Triple: [Manuel Piar, familyName, Piar]
Generated description
Piar is a surname most notably associated with Manuel Piar, a key military leader in the Venezuelan War of Independence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piar Target entity description: Piar is a surname most notably associated with Manuel Piar, a key military leader in the Venezuelan War of Independence.
-
A.
Piro
Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
-
B.
Peren
Peren is a town and administrative center in the northeastern Indian state of Nagaland.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Piore
Piore is the surname of Emanuel R. Piore, a notable physicist and research director associated with major advancements in industrial and defense-related science in the 20th century.
-
E.
Pooncarie
Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647f13a4819095c4ce8c42c5d1fb |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45a924081909a1190ce2987b16d |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5e83baa8c819083ac5d8ed402f8b9 |
completed | March 27, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e8cf4f7881908ede524ba24c1c9a |
completed | March 27, 2026, 2:17 a.m. |
Created at: March 22, 2026, 4:28 p.m.