Triple
T1729925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Chelios |
E37585
|
entity |
| Predicate | totalNHLGamesPlayed |
P10986
|
FINISHED |
| Object | over 1600 |
—
|
LITERAL 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: over 1600 | Statement: [Chris Chelios, totalNHLGamesPlayed, over 1600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNHLGamesPlayed Context triple: [Chris Chelios, totalNHLGamesPlayed, over 1600]
-
A.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
B.
gamesPlayedInNHL
chosen
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
-
C.
playedInNHLSeasons
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
-
D.
NHLGamesPlayedForTeam
Indicates that a person has participated in one or more official NHL games as a player for the specified team.
-
E.
NHLAllStarAppearances
Indicates the number of times an entity has participated in an NHL All-Star Game.
- F. None of above.
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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.