Triple
T2811008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean McVay |
E54168
|
entity |
| Predicate | JohnMcVayOccupation |
P43738
|
FINISHED |
| Object | former NFL executive |
—
|
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: former NFL executive | Statement: [Sean McVay, JohnMcVayOccupation, former NFL executive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JohnMcVayOccupation Context triple: [Sean McVay, JohnMcVayOccupation, former NFL executive]
-
A.
succeededByAsSecretaryOfTheNavy
Indicates that one person was followed in the role of Secretary of the Navy by another person.
-
B.
commanderAlsoServesAs
Indicates that the person who holds a commander role simultaneously fulfills one or more additional official roles or positions.
-
C.
servedInRole
Indicates that one entity performed duties or held a position within a specified role or office in relation to another entity.
-
D.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
E.
notableNavalCommander
Indicates that the subject is recognized as a distinguished or historically significant commander in naval forces.
- F. None of above. chosen
Provenance (4 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde335b38819090c70d5e2ca14d79 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde0f4c648190b9812e64f30c39da |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 9:59 p.m.