Triple
T8661505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shea Whigham |
E205558
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Whigham
Whigham is a surname most notably associated with American actor Shea Whigham, known for his character roles in film and television.
|
E748978
|
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: Whigham | Statement: [Shea Whigham, familyName, Whigham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whigham Context triple: [Shea Whigham, familyName, Whigham]
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Gifford
Gifford is a small unincorporated rural community located in Nez Perce County in the north-central region of Idaho, United States.
-
C.
Gifford
Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
-
D.
Gifford
Gifford is a British engineering consultancy renowned for its innovative structural and civil engineering projects, including landmark bridges and infrastructure works.
-
E.
Howland
Howland is an English-origin surname borne by various notable individuals in American history and public life.
- 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: Whigham Triple: [Shea Whigham, familyName, Whigham]
Generated description
Whigham is a surname most notably associated with American actor Shea Whigham, known for his character roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whigham Target entity description: Whigham is a surname most notably associated with American actor Shea Whigham, known for his character roles in film and television.
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Gifford
Gifford is a small unincorporated rural community located in Nez Perce County in the north-central region of Idaho, United States.
-
C.
Gifford
Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
-
D.
Gifford
Gifford is a British engineering consultancy renowned for its innovative structural and civil engineering projects, including landmark bridges and infrastructure works.
-
E.
Howland
Howland is an English-origin surname borne by various notable individuals in American history and public life.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.