Triple
T1431976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas F. Metz |
E30466
|
entity |
| Predicate | hasRankAtRetirement |
P28435
|
FINISHED |
| Object | Lieutenant General |
—
|
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: Lieutenant General | Statement: [Thomas F. Metz, hasRankAtRetirement, Lieutenant General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankAtRetirement Context triple: [Thomas F. Metz, hasRankAtRetirement, Lieutenant General]
-
A.
seniorRank
Indicates that one entity holds a higher or more senior rank or position than another entity.
-
B.
mandatoryRetirementAge
Indicates the age at which an individual is required by rule or policy to retire from a position or role.
-
C.
retirementYear
Indicates the specific year in which an entity retires or is officially considered retired.
-
D.
retirementDate
Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
-
E.
typicallyHoldsRank
Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.