Triple
T20718472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Travis |
E509241
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Work with Me
Work with Me is an American television sitcom best known for featuring actress Nancy Travis in a leading role.
|
E1447651
|
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: Work with Me | Statement: [Nancy Travis, notableWork, Work with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Work with Me Context triple: [Nancy Travis, notableWork, Work with Me]
-
A.
Let’s Work
"Let’s Work" is a song by the Rolling Stones, known as a track from their 1989 album "Steel Wheels."
-
B.
Worky
Worky is the commonly used nickname for Workington Town Rugby League Football Club, a professional rugby league team based in Workington, Cumbria, England.
-
C.
My Job
"My Job" is a segment or component of the YouTube channel "Crime Pays," likely focusing on the creator’s personal work or professional experiences related to the channel’s themes.
-
D.
Work on Me
"Work on Me" is a song by the American rock band Mechanical Bull.
-
E.
Work to Do
"Work to Do" is a funk and soul song popularized by the Scottish band Average White Band, known for its energetic groove and tight horn arrangements.
- 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: Work with Me Triple: [Nancy Travis, notableWork, Work with Me]
Generated description
Work with Me is an American television sitcom best known for featuring actress Nancy Travis in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Work with Me Target entity description: Work with Me is an American television sitcom best known for featuring actress Nancy Travis in a leading role.
-
A.
Let’s Work
"Let’s Work" is a song by the Rolling Stones, known as a track from their 1989 album "Steel Wheels."
-
B.
Worky
Worky is the commonly used nickname for Workington Town Rugby League Football Club, a professional rugby league team based in Workington, Cumbria, England.
-
C.
My Job
"My Job" is a segment or component of the YouTube channel "Crime Pays," likely focusing on the creator’s personal work or professional experiences related to the channel’s themes.
-
D.
Work on Me
"Work on Me" is a song by the American rock band Mechanical Bull.
-
E.
Work to Do
"Work to Do" is a funk and soul song popularized by the Scottish band Average White Band, known for its energetic groove and tight horn arrangements.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d39bec8190b3642b0d6d833375 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e0552fe88190aa5557fa83b7ed40 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e4808ac881908d527d462833ba84 |
completed | May 16, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e4eccb0881908e536964d86650d1 |
completed | May 16, 2026, 9:43 p.m. |
Created at: April 16, 2026, 12:25 p.m.