Triple
T13151348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penelope ortoni |
E312472
|
entity |
| Predicate | authority |
P1330
|
FINISHED |
| Object |
Salvin
Salvin was a 19th-century British ornithologist known for describing numerous bird species from Central and South America.
|
E1025262
|
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: Salvin | Statement: [Penelope ortoni, authority, Salvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salvin Context triple: [Penelope ortoni, authority, Salvin]
-
A.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Calso
Calso was a historical gasoline and service station brand used by Standard Oil of California, particularly in certain U.S. regions and in Canada, before being replaced by the Chevron name.
-
D.
Puygros
Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
-
E.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
- 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: Salvin Triple: [Penelope ortoni, authority, Salvin]
Generated description
Salvin was a 19th-century British ornithologist known for describing numerous bird species from Central and South America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salvin Target entity description: Salvin was a 19th-century British ornithologist known for describing numerous bird species from Central and South America.
-
A.
Sutsilvan
Sutsilvan is a traditional variety of the Romansh language historically spoken in parts of the Swiss canton of Graubünden.
-
B.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
C.
Calso
Calso was a historical gasoline and service station brand used by Standard Oil of California, particularly in certain U.S. regions and in Canada, before being replaced by the Chevron name.
-
D.
Puygros
Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
-
E.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaeca00c8190aa5645d1084c7d60 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f17376c88190b08a4f2f5967b57c |
completed | May 3, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1e5bc888190a0a82f45922de104 |
completed | May 3, 2026, 6:57 a.m. |
Created at: April 9, 2026, 9:11 p.m.