Triple
T10788105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Mowrer |
E254499
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mowrer
Mowrer is a surname most notably associated with American journalist and Pulitzer Prize winner Paul Mowrer.
|
E885938
|
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: Mowrer | Statement: [Paul Mowrer, familyName, Mowrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mowrer Context triple: [Paul Mowrer, familyName, Mowrer]
-
A.
Mosby
Mosby is a surname most famously associated with John S. Mosby, a Confederate cavalry battalion commander and guerrilla leader during the American Civil War.
-
B.
Maurer
Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
-
C.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
D.
Fiedler
Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
-
E.
Mullen
Mullen is the surname of Larry Mullen Jr., the Irish drummer best known as a founding member of the rock band U2.
- 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: Mowrer Triple: [Paul Mowrer, familyName, Mowrer]
Generated description
Mowrer is a surname most notably associated with American journalist and Pulitzer Prize winner Paul Mowrer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mowrer Target entity description: Mowrer is a surname most notably associated with American journalist and Pulitzer Prize winner Paul Mowrer.
-
A.
Mosby
Mosby is a surname most famously associated with John S. Mosby, a Confederate cavalry battalion commander and guerrilla leader during the American Civil War.
-
B.
Maurer
Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
-
C.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
D.
Fiedler
Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
-
E.
Mullen
Mullen is the surname of Larry Mullen Jr., the Irish drummer best known as a founding member of the rock band U2.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d65fcc8190ab5573a861409c56 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de56199d088190938a72105540cf66 |
completed | April 14, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69de5eadb9448190bdf69711394e2ab7 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de607917808190922df6521d7bfb07 |
completed | April 14, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:17 p.m.