Triple
T6279770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Borle |
E140751
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Borle
Borle is a surname most notably associated with American actor Christian Borle, known for his work on Broadway and in television.
|
E583090
|
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: Borle | Statement: [Christian Borle, familyName, Borle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borle Context triple: [Christian Borle, familyName, Borle]
-
A.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
B.
Besnagar
Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
-
C.
Borsad
Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
-
D.
Bendale
Bendale is a residential neighbourhood located in the Scarborough district of Toronto, Ontario, Canada.
-
E.
Milna
Milna is a picturesque coastal village and harbor town on the western side of the Croatian island of Brač, known for its traditional stone architecture and sheltered bay.
- 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: Borle Triple: [Christian Borle, familyName, Borle]
Generated description
Borle is a surname most notably associated with American actor Christian Borle, known for his work on Broadway and in television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borle Target entity description: Borle is a surname most notably associated with American actor Christian Borle, known for his work on Broadway and in television.
-
A.
Diass
Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
-
B.
Besnagar
Besnagar is the ancient name of the historic city of Vidisha in central India, known for its archaeological remains and significance in early Indian history.
-
C.
Borsad
Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
-
D.
Bendale
Bendale is a residential neighbourhood located in the Scarborough district of Toronto, Ontario, Canada.
-
E.
Milna
Milna is a picturesque coastal village and harbor town on the western side of the Croatian island of Brač, known for its traditional stone architecture and sheltered bay.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ddb3a4819083455f6da854f8a9 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519549cf0819096d01c23f6c915eb |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51dfe50c4819084c43ca4d6cced35 |
completed | March 26, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c58d97bf808190a2f8f101cf46a16b |
completed | March 26, 2026, 7:48 p.m. |
Created at: March 22, 2026, 4:26 p.m.