Triple
T2613128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Luck |
E58822
|
entity |
| Predicate | familyName |
P18
|
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: [Andrew Luck, familyName, Luck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luck Context triple: [Andrew Luck, familyName, 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.
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.
-
C.
With a Little Luck
"With a Little Luck" is a soft rock song by Paul McCartney and his band Wings, released in 1978 and known for its mellow, synth-driven sound and commercial success.
-
D.
LuckyMe
LuckyMe is a Scottish independent record label and arts collective known for its forward-thinking electronic, hip-hop, and experimental music releases.
-
E.
Fortune
Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87dcfbc8190b264062002bfe4ba |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83e816808190aa2c91801fd3c6c7 |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.