Triple
T37981437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie Leach |
E947558
|
entity |
| Predicate | seasonOfSecondTeamAllStar |
P31005
|
FINISHED |
| Object | 1975–76 NHL season |
—
|
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: 1975–76 NHL season | Statement: [Reggie Leach, seasonOfSecondTeamAllStar, 1975–76 NHL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonOfSecondTeamAllStar Context triple: [Reggie Leach, seasonOfSecondTeamAllStar, 1975–76 NHL season]
-
A.
secondWinningSeason
Indicates that the season in question is the second time an entity (such as a team or individual) has achieved a winning record or successful outcome.
-
B.
AllStarSelectionSeason
Indicates the specific season in which an entity (typically an athlete) was selected as an All-Star.
-
C.
selectedToNHLSecondAllStarTeam
chosen
Indicates that an individual was chosen for the NHL Second All-Star Team for a given season or event.
-
D.
NBAAllNBASecondTeamSelections
Indicates the number of times an entity has been selected to the NBA All-NBA Second Team.
-
E.
worldSeriesRunnerUp
Indicates that one entity finished in second place (was the runner-up) in a specified World Series competition.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:20 p.m.