Triple
T25267375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Aubert |
E633467
|
entity |
| Predicate | hasNamePrize |
P145454
|
FINISHED |
| Object |
Charles Aubert Law Prize
The Charles Aubert Law Prize is a legal award named in honor of Charles Aubert, recognizing distinguished contributions or excellence in the field of law.
|
E1671748
|
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: Charles Aubert Law Prize | Statement: [Charles Aubert, hasNamePrize, Charles Aubert Law Prize]
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: Charles Aubert Law Prize Triple: [Charles Aubert, hasNamePrize, Charles Aubert Law Prize]
Generated description
The Charles Aubert Law Prize is a legal award named in honor of Charles Aubert, recognizing distinguished contributions or excellence in the field of law.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamePrize Context triple: [Charles Aubert, hasNamePrize, Charles Aubert Law Prize]
-
A.
isNamedPrizeOf
Indicates that one entity is the official name of a prize or award associated with another entity.
-
B.
prizeName
chosen
Indicates the specific name or title assigned to a prize associated with an entity.
-
C.
prizeOfficialName
Indicates the formal, officially recognized name assigned to a prize.
-
D.
hasAwardNameForm
Indicates that an award is associated with a specific textual or formal representation of its name.
-
E.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
- F. None of above.
Provenance (6 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1067f68884819083d5cb31d772ad68 |
completed | May 22, 2026, 2:28 p.m. |
| NEDg | Description generation | batch_6a1069a68cf08190bbd6f09eed52f42e |
completed | May 22, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a106a12f4e08190a51c4cecf7a5de2a |
completed | May 22, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 1:16 p.m.