Triple
T10027453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stories Don’t End |
E200765
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Just My Luck |
E749459
|
NE FINISHED |
How this triple was built (2 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: Just My Luck | Statement: [Stories Don’t End, hasTrack, Just My Luck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just My Luck Context triple: [Stories Don’t End, hasTrack, Just My Luck]
-
A.
Just My Luck
chosen
Just My Luck is a 1957 British comedy film starring Norman Wisdom as a timid jeweller’s assistant whose attempts to improve his luck lead to a series of chaotic misadventures.
-
B.
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.
-
C.
My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
-
D.
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.
-
E.
Lucky Me
"Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ac9cdfc8190b91746855bf3de12 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:54 p.m.