Triple
T18226244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Toledo |
E436429
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Toledo
Toledo is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
|
E1312766
|
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: Toledo | Statement: [Bob Toledo, familyName, Toledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toledo Context triple: [Bob Toledo, familyName, Toledo]
-
A.
Toledo
Toledo is a small village in east-central Illinois that serves as the administrative and commercial hub of Cumberland County.
-
B.
Toledo
Toledo is a historic Spanish city renowned for its medieval architecture, cultural heritage, and role as a major political and religious center in Spain’s history.
-
C.
Toledo
Toledo is a major city in northwestern Ohio, known as an industrial and transportation hub on the western end of Lake Erie.
-
D.
Toledo City
Toledo City is a coastal component city on the western side of Cebu Island in the Philippines, known for its mining industry and port facilities.
-
E.
Columbus
Columbus is a city in eastern Mississippi known for its historic architecture, role in the American Civil War, and as part of the Golden Triangle region.
- 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: Toledo Triple: [Bob Toledo, familyName, Toledo]
Generated description
Toledo is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toledo Target entity description: Toledo is a Spanish-origin surname borne by various notable individuals across fields such as sports, politics, and the arts.
-
A.
Toledo
Toledo is a historic Spanish city renowned for its medieval architecture, cultural heritage, and role as a major political and religious center in Spain’s history.
-
B.
Toledo
Toledo is a major city in northwestern Ohio, known as an industrial and transportation hub on the western end of Lake Erie.
-
C.
Toledo
Toledo is a small village in east-central Illinois that serves as the administrative and commercial hub of Cumberland County.
-
D.
Toledo City
Toledo City is a coastal component city on the western side of Cebu Island in the Philippines, known for its mining industry and port facilities.
-
E.
Columbus
Columbus is a city in eastern Mississippi known for its historic architecture, role in the American Civil War, and as part of the Golden Triangle region.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f1fd2e48190b7d20d3b72d61e7a |
completed | May 12, 2026, 9:44 p.m. |
| NEDg | Description generation | batch_6a039fcd9548819088b6f89a24e5f14e |
completed | May 12, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a14b22208190b4f18bff55367dc9 |
completed | May 12, 2026, 9:53 p.m. |
Created at: April 10, 2026, 10:32 a.m.