Triple
T15389147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Girls |
E367993
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Mo Ogrodnik
Mo Ogrodnik is an American screenwriter and filmmaker known for her work on feature films such as the comedy-drama "Uptown Girls."
|
E1154804
|
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: Mo Ogrodnik | Statement: [Uptown Girls, screenwriter, Mo Ogrodnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mo Ogrodnik Context triple: [Uptown Girls, screenwriter, Mo Ogrodnik]
-
A.
Olek
Olek is a common Polish diminutive form of the male given name Aleksander.
-
B.
Zbyszek
Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
-
C.
Gajowniczek
Gajowniczek is a Polish surname most notably borne by Franciszek Gajowniczek, the Auschwitz prisoner for whom Saint Maximilian Kolbe volunteered to die.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
- 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: Mo Ogrodnik Triple: [Uptown Girls, screenwriter, Mo Ogrodnik]
Generated description
Mo Ogrodnik is an American screenwriter and filmmaker known for her work on feature films such as the comedy-drama "Uptown Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mo Ogrodnik Target entity description: Mo Ogrodnik is an American screenwriter and filmmaker known for her work on feature films such as the comedy-drama "Uptown Girls."
-
A.
Olek
Olek is a common Polish diminutive form of the male given name Aleksander.
-
B.
Zbyszek
Zbyszek is a common Polish diminutive form of the male given name Zbigniew.
-
C.
Gajowniczek
Gajowniczek is a Polish surname most notably borne by Franciszek Gajowniczek, the Auschwitz prisoner for whom Saint Maximilian Kolbe volunteered to die.
-
D.
Mrugowsky
Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
-
E.
Maurusz
Maurusz is a Polish diminutive or affectionate form of the male given name Maurus (Maurycy).
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.