Triple
T23724425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ready and Forward |
E586229
|
entity |
| Predicate | reflectsReputationOf |
P78687
|
FINISHED |
| Object | 10th U.S. Cavalry Regiment |
—
|
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: 10th U.S. Cavalry Regiment | Statement: [Ready and Forward, reflectsReputationOf, 10th U.S. Cavalry Regiment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsReputationOf Context triple: [Ready and Forward, reflectsReputationOf, 10th U.S. Cavalry Regiment]
-
A.
denotesReputationOf
chosen
Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
-
B.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
C.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
D.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
E.
scopeOfReputation
Indicates the range or extent within which an entity’s reputation is recognized, relevant, or has effect.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91364208190b3404534a7403e08 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:07 p.m.