Triple
T8003814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doris Day |
E186314
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lucky Me
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
|
E704290
|
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 Me | Statement: [Doris Day, notableWork, Lucky Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Me Context triple: [Doris Day, notableWork, Lucky Me]
-
A.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
B.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
C.
Lucky Guy
Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
-
D.
Lucky Day
Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
-
E.
Lucky Day
"Lucky Day" is a studio album by Jamaican-American reggae fusion artist Shaggy, known for its upbeat dancehall tracks and catchy pop-infused sound.
- 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 Me Triple: [Doris Day, notableWork, Lucky Me]
Generated description
"Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucky Me Target entity description: "Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
-
A.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
B.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
C.
Lucky Guy
Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
-
D.
Lucky Day
Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
-
E.
Lucky Day
"Lucky Day" is a studio album by Jamaican-American reggae fusion artist Shaggy, known for its upbeat dancehall tracks and catchy pop-infused sound.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf443e48190ac9e83343ff4019e |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe121b0ac81908b9da58cf14c8df5 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe441b76881909efa791b74316088 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34749ae08190a1d30919a0594bfd |
completed | March 31, 2026, 8:54 p.m. |
Created at: March 30, 2026, 5:18 p.m.