Triple
T23167324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward O. C. Ord |
E578746
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ord |
—
|
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: Ord | Statement: [Edward O. C. Ord, familyName, Ord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ord Context triple: [Edward O. C. Ord, familyName, Ord]
-
A.
Ord
chosen
Ord is a surname most notably associated with Boris Ord, the influential 20th-century English organist and choral conductor at King's College, Cambridge.
-
B.
Ord
Ord is a small coastal settlement on the Isle of Skye in Scotland, known for its scenic shoreline and views across Loch Eishort.
-
C.
ORD
ORD is the three-letter IATA airport code for Chicago O'Hare International Airport, one of the busiest air travel hubs in the United States.
-
D.
Or
Or is a river in eastern France that flows through the Côte-d'Or department and is a tributary of the Seine.
-
E.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2d51288190af0d5747090d8e5d |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.