Triple
T11113465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilary Minc |
E262819
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Minc
Minc is a Polish surname most notably associated with Hilary Minc, a prominent communist politician and economist in post–World War II Poland.
|
E905947
|
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: Minc | Statement: [Hilary Minc, familyName, Minc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minc Context triple: [Hilary Minc, familyName, Minc]
-
A.
Minkus
Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
-
B.
Minin
Minin is a Russian surname most famously borne by Kuzma Minin, a merchant from Nizhny Novgorod who became a national hero for organizing resistance against Polish invaders in the early 17th century.
-
C.
Minciotti
Minciotti is an Italian surname most notably associated with actress Esther Minciotti.
-
D.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
-
E.
Minns
Minns is the namesake of the Minns Evening Normal School, an institution historically associated with teacher education.
- 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: Minc Triple: [Hilary Minc, familyName, Minc]
Generated description
Minc is a Polish surname most notably associated with Hilary Minc, a prominent communist politician and economist in post–World War II Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minc Target entity description: Minc is a Polish surname most notably associated with Hilary Minc, a prominent communist politician and economist in post–World War II Poland.
-
A.
Minkus
Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
-
B.
Minin
Minin is a Russian surname most famously borne by Kuzma Minin, a merchant from Nizhny Novgorod who became a national hero for organizing resistance against Polish invaders in the early 17th century.
-
C.
Minciotti
Minciotti is an Italian surname most notably associated with actress Esther Minciotti.
-
D.
Minkels
Minkels is a data center infrastructure brand known for its modular server racks, cooling solutions, and cable management systems, now part of the Legrand group.
-
E.
Minns
Minns is the namesake of the Minns Evening Normal School, an institution historically associated with teacher education.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa523588190a25d241ccc6a9679 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d78c71c81908671a93ac5196c0a |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e42f3dd02c8190b40bc692c24b2ff4 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:27 p.m.