Triple
T32687673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corporal Timothy Upham |
E835768
|
entity |
| Predicate | joinsUnitOf |
P23692
|
FINISHED |
| Object | Captain John H. Miller |
—
|
NE NERFINISHED |
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: Captain John H. Miller | Statement: [Corporal Timothy Upham, joinsUnitOf, Captain John H. Miller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinsUnitOf Context triple: [Corporal Timothy Upham, joinsUnitOf, Captain John H. Miller]
-
A.
joins
chosen
Indicates that one entity becomes a member or part of another entity, typically by entering into an organization, group, or association.
-
B.
associatedWithUnit
Indicates that one entity has a connection, linkage, or affiliation with a particular unit (such as a division, department, or organizational subunit).
-
C.
unites
Indicates that one entity brings together multiple entities into a single, cohesive whole or shared state.
-
D.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
E.
isAUnitOf
Indicates that one entity functions as a unit or standard measure in which the other entity is quantified or expressed.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8174d8c8190a2352e6bc287abb4 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:09 a.m.