Triple
T14240441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Intelligence Taskforce |
E352988
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Osgood |
E668275
|
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: Osgood | Statement: [United Nations Intelligence Taskforce, notableMember, Osgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osgood Context triple: [United Nations Intelligence Taskforce, notableMember, Osgood]
-
A.
Osgood
chosen
Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
-
B.
Schlatter
Schlatter is a German-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
-
C.
Blount
Blount is the surname of James Hillier Blount, better known as the English singer-songwriter James Blunt.
-
D.
Segond
Segond is a French surname most notably associated with Louis Segond, the 19th-century Swiss theologian and translator of a widely used French Bible version.
-
E.
Apley
Apley is a small rural settlement in Lincolnshire, England, situated within the civil parish of Bardney.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.