Triple
T15439142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham Spanier |
E369851
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Spanier
Spanier is a surname most prominently associated with Graham Spanier, the former president of Pennsylvania State University.
|
E1158036
|
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: Spanier | Statement: [Graham Spanier, familyName, Spanier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spanier Context triple: [Graham Spanier, familyName, Spanier]
-
A.
Gallego
Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
-
B.
Bourbon Spain
Bourbon Spain was the early 18th-century Spanish monarchy under the French-origin Bourbon dynasty, marked by centralizing reforms and involvement in the War of the Spanish Succession.
-
C.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
D.
Spínola
Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
-
E.
Parlatino
Parlatino is a regional parliamentary organization that brings together the legislative bodies of Latin American countries to promote political integration, democracy, and cooperation across the region.
- 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: Spanier Triple: [Graham Spanier, familyName, Spanier]
Generated description
Spanier is a surname most prominently associated with Graham Spanier, the former president of Pennsylvania State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spanier Target entity description: Spanier is a surname most prominently associated with Graham Spanier, the former president of Pennsylvania State University.
-
A.
Gallego
Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
-
B.
Bourbon Spain
Bourbon Spain was the early 18th-century Spanish monarchy under the French-origin Bourbon dynasty, marked by centralizing reforms and involvement in the War of the Spanish Succession.
-
C.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
D.
Spínola
Spínola is a Portuguese surname most prominently associated with António de Spínola, a key military figure and political leader during Portugal’s Carnation Revolution.
-
E.
Parlatino
Parlatino is a regional parliamentary organization that brings together the legislative bodies of Latin American countries to promote political integration, democracy, and cooperation across the region.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff23348a448190a2a2953a18b29aaf |
completed | May 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.