Triple
T7156108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Captain |
E166814
|
entity |
| Predicate | captaincyDuration |
P22408
|
FINISHED |
| Object | longest-serving captain in Detroit Red Wings history |
—
|
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: longest-serving captain in Detroit Red Wings history | Statement: [The Captain, captaincyDuration, longest-serving captain in Detroit Red Wings history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: captaincyDuration Context triple: [The Captain, captaincyDuration, longest-serving captain in Detroit Red Wings history]
-
A.
captaincyEndYear
Indicates the year in which an entity’s period of serving as captain comes to an end.
-
B.
captaincyStartYear
Indicates the year in which an entity first assumed the role of captain.
-
C.
captaincyPrecedes
Indicates that one captaincy role or tenure occurs earlier in time than another captaincy role or tenure.
-
D.
reignDuration
chosen
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
E.
captaincyStyle
Indicates the manner or approach with which an individual leads or commands a team or group as its captain.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80dafdc8190b24863b83f084d12 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.