Triple
T21146619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sgt. John M. Stryker |
E521072
|
entity |
| Predicate | leadsUnitType |
P28425
|
FINISHED |
| Object | rifle squad |
—
|
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: rifle squad | Statement: [Sgt. John M. Stryker, leadsUnitType, rifle squad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadsUnitType Context triple: [Sgt. John M. Stryker, leadsUnitType, rifle squad]
-
A.
designationUnit
Indicates that one entity serves as the unit or standard of measure used to designate, label, or quantify another entity.
-
B.
laterLeadsUnit
Indicates that an entity assumes leadership of a unit at a time later than another referenced point or leader.
-
C.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
D.
associatedUnitType
chosen
Indicates that one entity is linked to or characterized by a particular type or category of unit.
-
E.
leadType
Indicates the specific category or classification of a lead within a lead management or sales context.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fdc25481909d6648e09b069c41 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.