Triple
T9752809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Kind |
E236480
|
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: [Richard Kind, notableWork, Luck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luck Context triple: [Richard Kind, 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.
Some Luck
Some Luck is a multigenerational novel by Jane Smiley that follows an Iowa farm family from the 1920s through the mid-20th century, exploring American life through their changing fortunes.
-
D.
Suerte
"Suerte" is a song by Colombian singer José José, known for its romantic Latin pop style.
-
E.
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.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fae332c8190b11f0258b5a5ae2b |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b0288b808190821287a2cc54025d |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.