Triple
T11447257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieces of a Woman |
E271296
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Kata Wéber
Kata Wéber is a Hungarian screenwriter and playwright known for her emotionally intense collaborations with director Kornél Mundruczó, including the acclaimed drama "Pieces of a Woman."
|
E926439
|
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: Kata Wéber | Statement: [Pieces of a Woman, screenwriter, Kata Wéber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kata Wéber Context triple: [Pieces of a Woman, screenwriter, Kata Wéber]
-
A.
Schultheiss
Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
-
B.
Tokashiki
Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
-
C.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
D.
Weber
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
-
E.
Brechtel
Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
- 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: Kata Wéber Triple: [Pieces of a Woman, screenwriter, Kata Wéber]
Generated description
Kata Wéber is a Hungarian screenwriter and playwright known for her emotionally intense collaborations with director Kornél Mundruczó, including the acclaimed drama "Pieces of a Woman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kata Wéber Target entity description: Kata Wéber is a Hungarian screenwriter and playwright known for her emotionally intense collaborations with director Kornél Mundruczó, including the acclaimed drama "Pieces of a Woman."
-
A.
Schultheiss
Schultheiss is a German surname historically derived from a medieval administrative title for a local official or magistrate.
-
B.
Tokashiki
Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
-
C.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
D.
Weber
Weber is a common German surname borne by numerous notable individuals across fields such as sociology, music, and politics.
-
E.
Brechtel
Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3bdafb08190aadf5d63facfedaf |
completed | April 20, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69e5d7e46e248190aba139dc32185e2f |
completed | April 20, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5e192297c8190992578f734e63427 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.