Triple
T20468607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Vereen |
E502121
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Webster
Webster is an American sitcom from the 1980s about a young orphaned boy adopted by a former football player and his wife, known for its family-friendly themes and the performance of Emmanuel Lewis in the title role.
|
E1432791
|
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: Webster | Statement: [Ben Vereen, notableWork, Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webster Context triple: [Ben Vereen, notableWork, Webster]
-
A.
Thomas
Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
-
B.
Thomas
Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
-
C.
Thomas
Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
-
D.
Thomas
Thomas is the given name of W. T. Cosgrave, the first President of the Executive Council of the Irish Free State and a key figure in early 20th-century Irish politics.
-
E.
Thomas
Thomas is the given name of Sir Thomas Eichelbaum, a prominent New Zealand jurist who served as Chief Justice.
- 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: Webster Triple: [Ben Vereen, notableWork, Webster]
Generated description
Webster is an American sitcom from the 1980s about a young orphaned boy adopted by a former football player and his wife, known for its family-friendly themes and the performance of Emmanuel Lewis in the title role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Webster Target entity description: Webster is an American sitcom from the 1980s about a young orphaned boy adopted by a former football player and his wife, known for its family-friendly themes and the performance of Emmanuel Lewis in the title role.
-
A.
Webster
Webster is a common English surname most famously associated with American lexicographer Noah Webster, whose name is linked to influential early American dictionaries.
-
B.
Webster
Webster is a city in the Houston metropolitan area of Texas, known for its proximity to Clear Lake and the NASA Johnson Space Center.
-
C.
Webster
Webster is the middle name of Daniel Webster Flagler, an American military officer whose name reflects the legacy of the prominent statesman Daniel Webster.
-
D.
Thomas
Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
-
E.
Thomas
Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995e71c08190911fadbc433f0f4d |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b1a82a88190a5f531c43cdd15cb |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c9b40788190b76ef5c582996d34 |
completed | May 16, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d186a38819085c8809560e94745 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 16, 2026, 11:33 a.m.