Triple
T19527457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Worden |
E488563
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Worden |
E966234
|
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: Worden | Statement: [Hank Worden, familyName, Worden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worden Context triple: [Hank Worden, familyName, Worden]
-
A.
Worden
chosen
Worden is the surname of Alfred M. Worden, the American astronaut who served as the command module pilot for NASA's Apollo 15 mission.
-
B.
Werden
Werden is a historic district of the German city of Essen, known for its old town charm and the former Benedictine abbey that now houses the Folkwang University of the Arts.
-
C.
Weerde
Weerde is a village in the Flemish Brabant province of Belgium, known as a residential suburb within the municipality of Zemst.
-
D.
Wead
Wead is a surname most notably associated with Frank Wead, a pioneering U.S. naval aviator and screenwriter whose life inspired the film "The Wings of Eagles."
-
E.
Wark
Wark is a given name used by Jacob Wark Griffith, likely serving as his middle or familiar name.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363c2660819093a6b9a444ca0ad4 |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e77bbc8819084406fcb2d053e0f |
completed | May 15, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:41 p.m.