Triple
T34900062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Keenan |
E1006557
|
entity |
| Predicate | associatedGameSeries |
P160965
|
FINISHED |
| Object | Wasteland series |
E2116818
|
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: Wasteland series | Statement: [Chris Keenan, associatedGameSeries, Wasteland series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedGameSeries Context triple: [Chris Keenan, associatedGameSeries, Wasteland series]
-
A.
gamesInSeries
Indicates that the related entities are individual games that belong to the same overarching game series or franchise.
-
B.
gameSeriesAppearance
Indicates that an entity appears as part of a particular video game series.
-
C.
leagueSeriesNumber
Indicates the specific sequential number assigned to a league within a series or season.
-
D.
hasGameSeriesContribution
chosen
Indicates that an entity has contributed in some way to the development, production, or content of a particular game series.
-
E.
seriesGame
Indicates that a game is part of, or belongs to, a particular series or franchise.
- F. None of above.
Provenance (4 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37a8adc2988190a8eed1fe1ee53c2d |
completed | June 21, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.