Triple
T160851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Tigers |
E3281
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Lucky |
E19864
|
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: Lucky | Statement: [Hanshin Tigers, mascot, Lucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Context triple: [Hanshin Tigers, mascot, Lucky]
-
A.
To-Lucky
chosen
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.
-
B.
That Fortune
"That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
-
C.
The Gambler
The Gambler is a classic country song and album by Kenny Rogers that tells the story of life lessons learned from a seasoned card player, becoming one of his signature hits.
-
D.
Horseshoe
Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
-
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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25856d934819095460b2ea566eb6b |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d7343fc08190810b11d205e41d9a |
completed | Feb. 28, 2026, 11:53 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.