Triple
T9614781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Oaks |
E232190
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Oaks
Oaks was the nickname of the Oakland Oaks, a historic professional baseball team that played in the Pacific Coast League.
|
E810430
|
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: Oaks | Statement: [Oakland Oaks, alsoKnownAs, Oaks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oaks Context triple: [Oakland Oaks, alsoKnownAs, Oaks]
-
A.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
B.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
-
C.
Oak
Oak is the professional name of Warren “Oak” Felder, a Grammy-nominated songwriter and record producer known for his work with major contemporary pop and R&B artists.
-
D.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
-
E.
Maples
Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
- 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: Oaks Triple: [Oakland Oaks, alsoKnownAs, Oaks]
Generated description
Oaks was the nickname of the Oakland Oaks, a historic professional baseball team that played in the Pacific Coast League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oaks Target entity description: Oaks was the nickname of the Oakland Oaks, a historic professional baseball team that played in the Pacific Coast League.
-
A.
Sycamores
Sycamores is the nickname for Indiana State University's men's basketball team, known for its collegiate competition in NCAA Division I.
-
B.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
-
C.
Oak
Oak is the professional name of Warren “Oak” Felder, a Grammy-nominated songwriter and record producer known for his work with major contemporary pop and R&B artists.
-
D.
Beech
Beech is a small rural village and civil parish in East Hampshire, England, known for its wooded surroundings and residential character.
-
E.
Maples
Maples is the surname of Marla Maples, an American actress and television personality best known as the second wife of former U.S. President Donald Trump.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aabb6b88190b53547db885e0129 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1795e7be08190a088e49a79251570 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17b33ba6c8190a4d08d29ea6c7b86 |
completed | April 4, 2026, 8:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17bb23b68819083a54ff8a19f741c |
completed | April 4, 2026, 8:59 p.m. |
Created at: March 30, 2026, 8:09 p.m.