Triple
T19951632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkley killings |
E479568
|
entity |
| Predicate | perpetratorLinkedTo |
P698
|
FINISHED |
| Object | INLA |
—
|
NE NERFINISHED |
How this triple was built (3 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: INLA | Statement: [Darkley killings, perpetratorLinkedTo, INLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INLA Context triple: [Darkley killings, perpetratorLinkedTo, INLA]
-
A.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
B.
Gaussian process
A Gaussian process is a collection of random variables indexed by a set (often time or space) such that every finite subset has a joint multivariate normal distribution, widely used to model functions in probability theory and machine learning.
-
C.
"Statistical Models in S"
"Statistical Models in S" is a foundational book that presents methods and practical guidance for implementing a wide range of statistical modeling techniques using the S programming environment.
-
D.
PirSTAN
PirSTAN was a Czech electoral alliance formed by the Pirate Party and the Mayors and Independents (STAN) to contest national elections with a pro-democratic, pro-European platform.
-
E.
Dirichlet process models
Dirichlet process models are a class of Bayesian nonparametric models that allow flexible, potentially infinite mixture modeling without fixing the number of components in advance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INLA Target entity description: The INLA (Irish National Liberation Army) was an Irish republican paramilitary organization active mainly during the Troubles, known for its armed campaign against British rule in Northern Ireland.
-
A.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
B.
Gaussian process
A Gaussian process is a collection of random variables indexed by a set (often time or space) such that every finite subset has a joint multivariate normal distribution, widely used to model functions in probability theory and machine learning.
-
C.
"Statistical Models in S"
"Statistical Models in S" is a foundational book that presents methods and practical guidance for implementing a wide range of statistical modeling techniques using the S programming environment.
-
D.
PirSTAN
PirSTAN was a Czech electoral alliance formed by the Pirate Party and the Mayors and Independents (STAN) to contest national elections with a pro-democratic, pro-European platform.
-
E.
Dirichlet process models
Dirichlet process models are a class of Bayesian nonparametric models that allow flexible, potentially infinite mixture modeling without fixing the number of components in advance.
- F. None of above. chosen
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a6c87388190a1bada3117acaf7b |
completed | April 20, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:54 p.m.