Triple
T29139832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Howard "Bunny" Colvin |
E738593
|
entity |
| Predicate | policyExperimentName |
P169759
|
FINISHED |
| Object | Hamsterdam |
—
|
NE NERFINISHED |
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: Hamsterdam | Statement: [Major Howard "Bunny" Colvin, policyExperimentName, Hamsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyExperimentName Context triple: [Major Howard "Bunny" Colvin, policyExperimentName, Hamsterdam]
-
A.
politicalExperiment
Indicates an action or process in which political ideas, systems, or policies are tried out or tested to observe their effects or viability.
-
B.
experimentName
chosen
Indicates the designated name or label assigned to a specific experiment within a broader context or system.
-
C.
featuresExperiment
Indicates that an entity is involved in, or is the subject of, a specific experimental setup, test, or trial.
-
D.
feedsExperiment
Indicates that one entity provides input, data, or resources that are used as the basis for conducting an experiment on another entity or system.
-
E.
parallelExperiment
Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 11:36 a.m.