Triple
T22597503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter A. Allard |
E574722
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Allard
Allard is a surname of French origin borne by various notable individuals across fields such as law, politics, and the arts.
|
E1544040
|
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: Allard | Statement: [Peter A. Allard, hasFamilyName, Allard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allard Context triple: [Peter A. Allard, hasFamilyName, Allard]
-
A.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
-
B.
Alvan
Alvan is a masculine given name of English origin, notably borne by figures such as U.S. Army officer Alvan C. Gillem.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
E.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
- 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: Allard Triple: [Peter A. Allard, hasFamilyName, Allard]
Generated description
Allard is a surname of French origin borne by various notable individuals across fields such as law, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allard Target entity description: Allard is a surname of French origin borne by various notable individuals across fields such as law, politics, and the arts.
-
A.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
-
B.
Alvan
Alvan is a masculine given name of English origin, notably borne by figures such as U.S. Army officer Alvan C. Gillem.
-
C.
Ottis
Ottis is a masculine given name most notably borne by former NFL running back Ottis Anderson.
-
D.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
E.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16269a56881909bb5af0258150f93 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d63af408190b295665954b2ea6b |
completed | May 18, 2026, 4:25 p.m. |
| NEDg | Description generation | batch_6a0b3e74d7d88190865bd33288c196b9 |
completed | May 18, 2026, 4:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f2ddb74819082d39650090efb03 |
completed | May 18, 2026, 4:32 p.m. |
Created at: April 17, 2026, 2:50 p.m.