Triple
T1862556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orel Hershiser |
E34848
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Orel
Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
|
E207325
|
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: Orel | Statement: [Orel Hershiser, givenName, Orel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orel Context triple: [Orel Hershiser, givenName, Orel]
-
A.
Ngawi
Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
-
B.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
C.
Pilsen
Pilsen is a city in the Czech Republic best known as the birthplace of Pilsner beer, a pale lager style that became one of the world’s most popular.
-
D.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
-
E.
Tubas
Tubas is a Palestinian city in the northeastern West Bank, serving as the administrative center of the Tubas Governorate and known for its agricultural surroundings in the Jordan Valley 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: Orel Triple: [Orel Hershiser, givenName, Orel]
Generated description
Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orel Target entity description: Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
-
A.
Ngawi
Ngawi is a regency capital and regional town in East Java, Indonesia, known as a transportation hub and gateway between Central and East Java.
-
B.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
C.
Pilsen
Pilsen is a city in the Czech Republic best known as the birthplace of Pilsner beer, a pale lager style that became one of the world’s most popular.
-
D.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
-
E.
Tubas
Tubas is a Palestinian city in the northeastern West Bank, serving as the administrative center of the Tubas Governorate and known for its agricultural surroundings in the Jordan Valley 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09f856c8190807a7cf2a5f49fcb |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d026748190a507872de85c908d |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add27390b08190942b1fa6fcab1e44 |
completed | March 8, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add305bd108190b5e7e0f3d30a2c58 |
completed | March 8, 2026, 7:50 p.m. |
Created at: March 4, 2026, 7:34 p.m.