Triple
T8519250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Holloway |
E201654
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Colony |
E619357
|
NE 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: Colony | Statement: [Josh Holloway, notableWork, Colony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colony Context triple: [Josh Holloway, notableWork, Colony]
-
A.
The Colony
The Colony is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities, lakeside recreation, and growing retail and business developments.
-
B.
The Colony
chosen
The Colony is a 2013 post-apocalyptic science fiction thriller film about survivors in an underground bunker facing deadly threats after a new ice age devastates Earth.
-
C.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
D.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
-
E.
Colonet
Colonet is a rural community in the municipality of Ensenada in Baja California, Mexico, known for its agricultural activity and proposed deep-water port development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e6c93d081909da2a748b0fa6fd3 |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.