Triple
T4143017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Tedder |
E89314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tedder |
E89314
|
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: Tedder | Statement: [Arthur Tedder, familyName, Tedder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedder Context triple: [Arthur Tedder, familyName, Tedder]
-
A.
Tedder
chosen
Tedder is a surname most notably associated with Arthur Tedder, a senior British Royal Air Force commander and Marshal of the Royal Air Force during World War II.
-
B.
Skip Woods
Skip Woods is an American screenwriter and film producer known for writing action films such as "Swordfish," "Hitman," and "A Good Day to Die Hard."
-
C.
Lee Patrick
Lee Patrick was an American character actress best known for her prolific film and television work from the 1930s through the 1960s, including roles in classics like "The Maltese Falcon."
-
D.
Charlie Hill
Charlie Hill is a central male character in the musical comedy "The Belle of New York," typically portrayed as a charming young man entangled in romantic and comedic misadventures.
-
E.
William Sims
William Sims was a prominent U.S. Navy admiral and naval reformer known for modernizing gunnery and leading American naval forces in European waters during World War I.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af024cc7e88190b23b39d6f5f2a2e0 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576cff6c881909134804ba6f9876d |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.