Triple
T38165255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Italian Republic |
E953124
|
entity |
| Predicate | roleInItalianHonorsSystem |
P204094
|
FINISHED |
| Object |
Grand Master of the orders of knighthood of the Italian Republic
The Grand Master of the orders of knighthood of the Italian Republic is the ceremonial head and highest authority overseeing Italy’s national orders of merit and chivalric distinctions.
|
E2258549
|
NE FINISHED |
How this triple was built (3 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: Grand Master of the orders of knighthood of the Italian Republic | Statement: [President of the Italian Republic, roleInItalianHonorsSystem, Grand Master of the orders of knighthood of the Italian Republic]
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: Grand Master of the orders of knighthood of the Italian Republic Triple: [President of the Italian Republic, roleInItalianHonorsSystem, Grand Master of the orders of knighthood of the Italian Republic]
Generated description
The Grand Master of the orders of knighthood of the Italian Republic is the ceremonial head and highest authority overseeing Italy’s national orders of merit and chivalric distinctions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInItalianHonorsSystem Context triple: [President of the Italian Republic, roleInItalianHonorsSystem, Grand Master of the orders of knighthood of the Italian Republic]
-
A.
honorsRole
Indicates that one entity formally recognizes and respects the position, title, or role held by another entity.
-
B.
honoursSystemRole
Indicates that one entity respects, preserves, or correctly applies the designated system-level role of another entity or process.
-
C.
honorsRoleAs
Indicates that one entity shows respect, recognition, or deference to another entity specifically in their official position or function.
-
D.
honorSystemNameItalian
Indicates that the entity’s honor system or code of conduct is referred to by its Italian name.
-
E.
honoursSystem
Indicates that an entity follows or complies with a particular system of rules, standards, or principles.
- F. None of above. chosen
Provenance (7 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a03213d35788190bdf04e19625b4060 |
completed | May 12, 2026, 12:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41713d4df48190a17d71a80402271b |
completed | June 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a4172eb95fc819082d3ce8090f9b20c |
completed | June 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41736266c08190810e3a1748d0ff59 |
completed | June 28, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a031ea131d48190ab0fecb48b8e2205 |
completed | May 12, 2026, 12:35 p.m. |
| PDg | Predicate description generation | batch_6a03213c1e10819099738cd1faeab8bb |
completed | May 12, 2026, 12:46 p.m. |
Created at: May 3, 2026, 4:21 p.m.