Triple
T17903672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last of Us (TV series) |
E447645
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Word Games |
—
|
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: Word Games | Statement: [The Last of Us (TV series), producer, Word Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Word Games Context triple: [The Last of Us (TV series), producer, Word Games]
-
A.
Word Games
chosen
Word Games is a television production company co-founded by Craig Mazin, known for producing high-profile series such as HBO’s adaptations of The Last of Us and Chernobyl.
-
B.
Word Play
"Word Play" is a track by A Tribe Called Quest featured on their 1996 hip-hop album "Beats, Rhymes and Life."
-
C.
Word Challenge
Word Challenge is a popular word-based puzzle game developed by Playfish that tests players' vocabulary and speed through timed word-forming challenges.
-
D.
Scrabble
Scrabble is a small unincorporated community located in Berkeley County, West Virginia, known for its rural character and historic charm.
-
E.
Words With Friends
Words With Friends is a popular multiplayer word game app similar to Scrabble, known for its social gameplay and widespread use on mobile devices.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.