Triple
T1995942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney B. Vance |
E43357
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lucky Guy
Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
|
E221987
|
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: Lucky Guy | Statement: [Courtney B. Vance, notableWork, Lucky Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Guy Context triple: [Courtney B. Vance, notableWork, Lucky Guy]
-
A.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
B.
Lucky Town
Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
-
C.
You Got Lucky
"You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
-
D.
A Wonderful Guy
"A Wonderful Guy" is a popular show tune from the 1949 Rodgers and Hammerstein musical *South Pacific*, known for its upbeat expression of romantic joy.
-
E.
To-Lucky
To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
- 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: Lucky Guy Triple: [Courtney B. Vance, notableWork, Lucky Guy]
Generated description
Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucky Guy Target entity description: Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
-
A.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
B.
Lucky Town
Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
-
C.
You Got Lucky
"You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
-
D.
A Wonderful Guy
"A Wonderful Guy" is a popular show tune from the 1949 Rodgers and Hammerstein musical *South Pacific*, known for its upbeat expression of romantic joy.
-
E.
To-Lucky
To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86537748190a2b5e3fd44ac6430 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03c4faac8190a13aa0882eda3629 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04467fe88190bd9a1c4640f83dc6 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.