Triple
T36844119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Colonel |
E910491
|
entity |
| Predicate | wages |
P186575
|
FINISHED |
| Object | war against apes |
—
|
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: war against apes | Statement: [The Colonel, wages, war against apes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wages Context triple: [The Colonel, wages, war against apes]
-
A.
viewOnWages
Indicates a stance, opinion, or perspective that an entity holds regarding wages or wage-related issues.
-
B.
salary
Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
-
C.
basisOfWageDetermination
Indicates the factor or criteria used to determine the amount or structure of a wage.
-
D.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
-
E.
payScale
Indicates the compensation level or salary range assigned to an entity, typically reflecting its relative pay or grade within a structured system.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.