Triple
T3124642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Foley |
E65266
|
entity |
| Predicate | militaryRankProgression |
P45510
|
FINISHED |
| Object | rose from midshipman to admiral |
—
|
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: rose from midshipman to admiral | Statement: [Thomas Foley, militaryRankProgression, rose from midshipman to admiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRankProgression Context triple: [Thomas Foley, militaryRankProgression, rose from midshipman to admiral]
-
A.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
-
C.
militaryRankStructureBasedOn
Indicates that one military rank structure is organized, modeled, or defined according to another specified system or framework of ranks.
-
D.
highestNonCommissionedRank
Indicates that the subject holds the top position among all non-commissioned ranks within a given hierarchy or organization.
-
E.
navalRankContext
Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52d856c8190a5d65b8a6452be21 |
completed | March 8, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.