Triple
T20383227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Match Game |
E497892
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Match Game PM |
—
|
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: Match Game PM | Statement: [Match Game, hasPart, Match Game PM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Match Game PM Context triple: [Match Game, hasPart, Match Game PM]
-
A.
Match Game (various versions)
chosen
Match Game (various versions) is a long-running American television game show franchise in which contestants try to match humorous fill-in-the-blank answers with a panel of celebrity guests.
-
B.
Our Game
Our Game is a 1995 espionage novel by John le Carré that follows a retired British intelligence officer entangled in a post–Cold War conspiracy involving his former protégé.
-
C.
GAM
GAM is the stock ticker symbol for Gaumont, a historic French film production and distribution company.
-
D.
GAM
GAM is a major cultural and arts center in Santiago, Chile, named after the Nobel Prize–winning poet Gabriela Mistral.
-
E.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.