Triple
T34772425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Landeskog |
E1002399
|
entity |
| Predicate | captaincyTenure |
P145224
|
FINISHED |
| Object | longtime captain of the Colorado Avalanche |
—
|
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: longtime captain of the Colorado Avalanche | Statement: [Gabriel Landeskog, captaincyTenure, longtime captain of the Colorado Avalanche]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captaincyTenure Context triple: [Gabriel Landeskog, captaincyTenure, longtime captain of the Colorado Avalanche]
-
A.
captaincyOf
chosen
Indicates that one entity holds the role or position of captain for another entity, such as a team, group, or vessel.
-
B.
captaincyPeriod
Indicates the time span during which an entity serves as the captain of a team, group, or vessel.
-
C.
captaincyPrecedes
Indicates that one captaincy role or tenure occurs earlier in time than another captaincy role or tenure.
-
D.
captaincyTradition
Indicates a customary or historically established practice regarding who holds or assumes the role of captain in a given context.
-
E.
captaincyEndYear
Indicates the year in which an entity’s period of serving as captain comes to an end.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.