Triple
T17123942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Seresin |
E415539
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seresin
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
|
E1251239
|
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: Seresin | Statement: [Michael Seresin, familyName, Seresin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seresin Context triple: [Michael Seresin, familyName, Seresin]
-
A.
Soulis
Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
-
B.
Scicolone
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
C.
Sebastos
Sebastos was the grand artificial harbor of ancient Caesarea Maritima, renowned as one of the largest and most advanced seaports of the Roman world.
-
D.
Qaryagin
Qaryagin is a town that historically served as the administrative center of the Qaryagin uezd in the Caucasus region.
-
E.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
- 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: Seresin Triple: [Michael Seresin, familyName, Seresin]
Generated description
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seresin Target entity description: Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
-
A.
Soulis
Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
-
B.
Scicolone
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
C.
Sebastos
Sebastos was the grand artificial harbor of ancient Caesarea Maritima, renowned as one of the largest and most advanced seaports of the Roman world.
-
D.
Qaryagin
Qaryagin is a town that historically served as the administrative center of the Qaryagin uezd in the Caucasus region.
-
E.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013a8e69388190b8d48d70a28e99bd |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:36 a.m.