Triple
T20346056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws (1987 video game) |
E495873
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | LJN |
—
|
NE NERFINISHED |
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: LJN | Statement: [Jaws (1987 video game), distributor, LJN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LJN Context triple: [Jaws (1987 video game), distributor, LJN]
-
A.
LJN
chosen
LJN was an American toy and video game company best known for producing licensed but often critically panned video games and action figures in the 1980s and early 1990s.
-
B.
JLN
JLN is the three-letter IATA airport code for Joplin Regional Airport in Joplin, Missouri, United States.
-
C.
LJ
LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
-
D.
LJ
LJ is the IATA airline designator used for the South Korean low-cost carrier Jin Air.
-
E.
LJ
LJ is the standard postnominal abbreviation used to denote a Lord Justice, a senior judge in the Court of Appeal of England and Wales.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6783937a48190ac86e4959a781a2b |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.