Triple
T622047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Innocent IV |
E14533
|
entity |
| Predicate | issuedBull |
P29
|
FINISHED |
| Object |
Etsi de statu
Etsi de statu is a papal bull of Pope Innocent IV that addressed ecclesiastical and political matters in the mid-13th century.
|
E77942
|
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: Etsi de statu | Statement: [Pope Innocent IV, issuedBull, Etsi de statu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etsi de statu Context triple: [Pope Innocent IV, issuedBull, Etsi de statu]
-
A.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
B.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
-
C.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
D.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
E.
Arcot
Arcot is a historic town in the Indian state of Tamil Nadu that served as an important political and military center, especially under the Nawabs of the Carnatic during the 18th century.
- 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: Etsi de statu Triple: [Pope Innocent IV, issuedBull, Etsi de statu]
Generated description
Etsi de statu is a papal bull of Pope Innocent IV that addressed ecclesiastical and political matters in the mid-13th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etsi de statu Target entity description: Etsi de statu is a papal bull of Pope Innocent IV that addressed ecclesiastical and political matters in the mid-13th century.
-
A.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
B.
Gestel
Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
-
C.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
D.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
E.
Arcot
Arcot is a historic town in the Indian state of Tamil Nadu that served as an important political and military center, especially under the Nawabs of the Carnatic during the 18th century.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a514b514819088e7b6b7e4675905 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563cab73c819082b51d64d249143b |
completed | March 2, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69a5657b51c881909c393f79c359181c |
completed | March 2, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a565e528a88190a547f69c7e378140 |
completed | March 2, 2026, 10:26 a.m. |
Created at: March 1, 2026, 7:35 p.m.