Triple
T3994696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blansky's Beauties |
E87071
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Babs
Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
|
E403598
|
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: Babs | Statement: [Blansky's Beauties, character, Babs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babs Context triple: [Blansky's Beauties, character, Babs]
-
A.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
-
D.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
E.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
- 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: Babs Triple: [Blansky's Beauties, character, Babs]
Generated description
Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babs Target entity description: Babs is a fictional character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
-
A.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Binkie Beaumont
Binkie Beaumont was a prominent British theatrical producer and manager known for his influential role in mid-20th-century West End theatre.
-
D.
Lucille
"Lucille" is a 1957 rock and roll song by Little Richard, celebrated for its driving rhythm, powerful vocals, and lasting influence on popular music.
-
E.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1f0fb88190aafbfdc98bc8652d |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403c703081908070625ebfb6fb5f |
completed | March 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69b540ec36a4819082a9cbefc99bd683 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5416d182c81908b1ae43ed097d288 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:34 p.m.