Triple
T6572825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Francis |
E155481
|
entity |
| Predicate | isInauguralHolderOfPosition |
P5161
|
FINISHED |
| Object | general manager of the Seattle Kraken |
—
|
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: general manager of the Seattle Kraken | Statement: [Ron Francis, isInauguralHolderOfPosition, general manager of the Seattle Kraken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInauguralHolderOfPosition Context triple: [Ron Francis, isInauguralHolderOfPosition, general manager of the Seattle Kraken]
-
A.
inauguralHolder
chosen
Indicates that the subject is the first person or entity to hold a particular position, title, office, or role.
-
B.
isInauguralElectionFor
Indicates that an election is the first (inaugural) occurrence held for a particular office, position, or governing body.
-
C.
positionInauguratedIn
Indicates that a person officially assumed a particular position or office at a specified time or event of inauguration.
-
D.
inauguratedBefore
Indicates that one entity’s inauguration occurred earlier in time than another entity’s inauguration.
-
E.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.