Triple
T15418119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Helen Kostyra |
E369303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kostyra
Kostyra is the birth surname of American businesswoman and media personality Martha Stewart (born Martha Helen Kostyra).
|
E1156706
|
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: Kostyra | Statement: [Martha Helen Kostyra, familyName, Kostyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kostyra Context triple: [Martha Helen Kostyra, familyName, Kostyra]
-
A.
Stary Krym
Stary Krym is a historic town in eastern Crimea known for its medieval heritage and role as an important center in the Crimean Peninsula’s past.
-
B.
Orlovika
Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
-
C.
Obskaya
Obskaya is a settlement and railway station in Russia’s Yamalo-Nenets Autonomous Okrug that serves as a key junction for rail transport into the Yamal Peninsula.
-
D.
Nedomanský
Nedomanský is a Czech surname most notably associated with Václav Nedomanský, a prominent former professional ice hockey player and Hall of Famer.
-
E.
Derazhnia
Derazhnia is a small town in western Ukraine known as a local administrative and transportation center within the Khmelnytskyi region.
- 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: Kostyra Triple: [Martha Helen Kostyra, familyName, Kostyra]
Generated description
Kostyra is the birth surname of American businesswoman and media personality Martha Stewart (born Martha Helen Kostyra).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kostyra Target entity description: Kostyra is the birth surname of American businesswoman and media personality Martha Stewart (born Martha Helen Kostyra).
-
A.
Stary Krym
Stary Krym is a historic town in eastern Crimea known for its medieval heritage and role as an important center in the Crimean Peninsula’s past.
-
B.
Orlovika
Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
-
C.
Obskaya
Obskaya is a settlement and railway station in Russia’s Yamalo-Nenets Autonomous Okrug that serves as a key junction for rail transport into the Yamal Peninsula.
-
D.
Nedomanský
Nedomanský is a Czech surname most notably associated with Václav Nedomanský, a prominent former professional ice hockey player and Hall of Famer.
-
E.
Derazhnia
Derazhnia is a small town in western Ukraine known as a local administrative and transportation center within the Khmelnytskyi region.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:20 a.m.