Triple
T15750167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mietek Pemper |
E381823
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pemper
Pemper is a surname most notably associated with Mietek Pemper, a Holocaust survivor who helped compile Oskar Schindler’s list.
|
E1175915
|
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: Pemper | Statement: [Mietek Pemper, familyName, Pemper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pemper Context triple: [Mietek Pemper, familyName, Pemper]
-
A.
Perrepa Perrepa
Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
-
B.
Perken
Perken is a central character in André Malraux’s novel "La Voie royale," depicted as an adventurous, driven explorer whose quest for meaning and glory leads him deep into the dangers of the Cambodian jungle.
-
C.
Pekat
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
-
D.
Paemani
The Paemani were an ancient Belgic tribe of northeastern Gaul, known from Roman-era sources as part of the broader Celtic and Germanic cultural milieu.
-
E.
Pandro
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
- 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: Pemper Triple: [Mietek Pemper, familyName, Pemper]
Generated description
Pemper is a surname most notably associated with Mietek Pemper, a Holocaust survivor who helped compile Oskar Schindler’s list.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pemper Target entity description: Pemper is a surname most notably associated with Mietek Pemper, a Holocaust survivor who helped compile Oskar Schindler’s list.
-
A.
Perrepa Perrepa
Perrepa Perrepa is an Indigenous people known by the ethnonym "Perrepa Perrepa," representing their distinct cultural and ethnic identity.
-
B.
Perken
Perken is a central character in André Malraux’s novel "La Voie royale," depicted as an adventurous, driven explorer whose quest for meaning and glory leads him deep into the dangers of the Cambodian jungle.
-
C.
Pekat
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
-
D.
Paemani
The Paemani were an ancient Belgic tribe of northeastern Gaul, known from Roman-era sources as part of the broader Celtic and Germanic cultural milieu.
-
E.
Pandro
Pandro is the given name of Pandro S. Berman, a prominent American film producer known for his work during Hollywood’s classic studio era.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876d48588190afec7722cca25633 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff8b6c44d081908e35ca17b5ce2189 |
completed | May 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8ca1c1f08190aeb6f7421d54c2de |
completed | May 9, 2026, 7:36 p.m. |
Created at: April 10, 2026, 4:47 a.m.