Triple
T3919686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord High Constable of England |
E88926
|
entity |
| Predicate | historicalRank |
P28623
|
FINISHED |
| Object | second in command of the army after the king |
—
|
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: second in command of the army after the king | Statement: [Lord High Constable of England, historicalRank, second in command of the army after the king]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRank Context triple: [Lord High Constable of England, historicalRank, second in command of the army after the king]
-
A.
historicalAreaRank
Indicates the relative position or ranking of an area based on its historical significance or importance.
-
B.
historicalLevel
Indicates the degree or extent to which something is related to, situated in, or characterized by a particular historical period or context.
-
C.
historicalStatusOf
chosen
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
D.
historicalPower
Indicates that one entity held significant influence, control, or authority over another during a past period.
-
E.
historicallyMeasuredBy
Indicates that one quantity, property, or phenomenon was traditionally or formerly quantified or assessed using a particular measurement method, unit, or instrument.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.