Triple
T3262705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ortiz |
E68448
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Luck |
E246830
|
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: Luck | Statement: [John Ortiz, notableWork, Luck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luck Context triple: [John Ortiz, notableWork, Luck]
-
A.
Luck
chosen
"Luck" is a 2022 animated fantasy comedy film about a perpetually unlucky girl who discovers a secret world of good and bad luck.
-
B.
Chance
Chance is a masculine given name often associated with notions of luck, opportunity, and fortune.
-
C.
The Truth About Luck
The Truth About Luck is a reflective nonfiction book by Iain Reid that blends memoir and philosophical meditation as he spends time with his elderly grandmother exploring ideas of fortune, aging, and gratitude.
-
D.
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.
-
E.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa908e881908cbb2ad137819ffb |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee2ec8481908a0c0f4a32c97fe0 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.