Triple
T9426351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red |
E227272
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | The Lucky One |
E486666
|
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: The Lucky One | Statement: [Red, hasTrack, The Lucky One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lucky One Context triple: [Red, hasTrack, The Lucky One]
-
A.
The Lucky One
chosen
The Lucky One is a romantic drama film based on a Nicholas Sparks novel, following a U.S. Marine who seeks out a woman he believes was his good-luck charm during the war.
-
B.
The Lucky Ones
The Lucky Ones is a 2008 American road drama film that follows three U.S. soldiers on an unexpected cross-country journey after returning home from the Iraq War.
-
C.
The Lucky Chance
The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
-
D.
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.
-
E.
Lucky Girl
"Lucky Girl" is a song by the artist Rumble Doll, likely within the pop or rock genre.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:49 p.m.