Triple
T17322778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | earl (British peerage) |
E420601
|
entity |
| Predicate | followsInSeniority |
P96900
|
FINISHED |
| Object | marquess |
—
|
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: marquess | Statement: [earl (British peerage), followsInSeniority, marquess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInSeniority Context triple: [earl (British peerage), followsInSeniority, marquess]
-
A.
followsLevel
Indicates that one entity comes after or succeeds another in a defined sequence, stage, or hierarchical level.
-
B.
followsLeadershipOf
Indicates that one entity accepts and acts under the guidance, direction, or authority of another entity’s leadership.
-
C.
followedByInPositionHierarchy
chosen
Indicates that one position directly succeeds another in an ordered hierarchy of positions.
-
D.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
-
E.
successorInLineup
Indicates that one entity immediately follows another in a specified ordered lineup or sequence.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d01e2c8190a358dace420d4575 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.