Triple
T11524592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Secker |
E273258
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Secker
Secker is an English surname most notably associated with Thomas Secker, an 18th-century Archbishop of Canterbury.
|
E930172
|
NE FINISHED |
How this triple was built (4 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: Secker | Statement: [Thomas Secker, familyName, Secker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secker Context triple: [Thomas Secker, familyName, Secker]
-
A.
Killick
Killick is the irascible yet fiercely loyal steward and servant to Captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin naval novels.
-
B.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
C.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
D.
Turley
Turley is an unincorporated community and census-designated place in northeastern Oklahoma, situated just north of Tulsa.
-
E.
Murck
Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Secker Triple: [Thomas Secker, familyName, Secker]
Generated description
Secker is an English surname most notably associated with Thomas Secker, an 18th-century Archbishop of Canterbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Secker Target entity description: Secker is an English surname most notably associated with Thomas Secker, an 18th-century Archbishop of Canterbury.
-
A.
Killick
Killick is the irascible yet fiercely loyal steward and servant to Captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin naval novels.
-
B.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
C.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
D.
Turley
Turley is an unincorporated community and census-designated place in northeastern Oklahoma, situated just north of Tulsa.
-
E.
Murck
Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
- F. None of above. chosen
Provenance (5 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:37 p.m.