Triple
T8215547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sayers |
E191921
|
entity |
| Predicate | rulesEra |
P36703
|
FINISHED |
| Object | pre-Marquis of Queensberry rules |
—
|
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: pre-Marquis of Queensberry rules | Statement: [Tom Sayers, rulesEra, pre-Marquis of Queensberry rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rulesEra Context triple: [Tom Sayers, rulesEra, pre-Marquis of Queensberry rules]
-
A.
representsEra
Indicates that one entity designates the historical era, period, or age to which another entity belongs or is associated.
-
B.
appliesToEra
chosen
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
preservesEra
Indicates that something maintains or keeps intact the characteristics, style, or conditions of a particular historical period.
-
D.
followsEra
Indicates that one time period or era comes directly after another in chronological order.
-
E.
divisionOrEraLabel
Indicates that one entity serves as a label or designation for a particular division, period, or era associated with another entity.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776dcfa08190969863b886336c91 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.