Triple
T986938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord High Admiral of England |
E21299
|
entity |
| Predicate | officeOftenHeldBy |
P9583
|
FINISHED |
| Object | members of the royal family |
—
|
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: members of the royal family | Statement: [Lord High Admiral of England, officeOftenHeldBy, members of the royal family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeOftenHeldBy Context triple: [Lord High Admiral of England, officeOftenHeldBy, members of the royal family]
-
A.
officeHoldersAreUsually
chosen
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
B.
officePreviouslyHeldBy
Indicates that a particular office or position was formerly occupied by a specified person or entity.
-
C.
officeInvolved
Indicates that a particular office or organizational unit is involved or participates in a specified event, action, or relationship.
-
D.
officeHolderUsually
Indicates that an entity is the person who typically or customarily holds a particular office or position.
-
E.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a7754c8190a10ba0587bd8323d |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.