Triple
T6699060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Schottenheimer |
E152827
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kristen Schottenheimer
Kristen Schottenheimer is the daughter of the late NFL head coach Marty Schottenheimer.
|
E611814
|
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: Kristen Schottenheimer | Statement: [Marty Schottenheimer, child, Kristen Schottenheimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Schottenheimer Context triple: [Marty Schottenheimer, child, Kristen Schottenheimer]
-
A.
Sandy Powell
Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
-
B.
Rhonda Schepisi
Rhonda Schepisi is the wife of Australian film director Fred Schepisi.
-
C.
Robin Swicord
Robin Swicord is an American screenwriter and director known for her literary adaptations, including films such as Little Women (1994), Memoirs of a Geisha, and The Curious Case of Benjamin Button.
-
D.
Meg Kasdan
Meg Kasdan is an American filmmaker and screenwriter known for her collaborative work with her husband, director Lawrence Kasdan, on several acclaimed films.
-
E.
Rainey Reitman
Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
- 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: Kristen Schottenheimer Triple: [Marty Schottenheimer, child, Kristen Schottenheimer]
Generated description
Kristen Schottenheimer is the daughter of the late NFL head coach Marty Schottenheimer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristen Schottenheimer Target entity description: Kristen Schottenheimer is the daughter of the late NFL head coach Marty Schottenheimer.
-
A.
Sandy Powell
Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
-
B.
Rhonda Schepisi
Rhonda Schepisi is the wife of Australian film director Fred Schepisi.
-
C.
Robin Swicord
Robin Swicord is an American screenwriter and director known for her literary adaptations, including films such as Little Women (1994), Memoirs of a Geisha, and The Curious Case of Benjamin Button.
-
D.
Meg Kasdan
Meg Kasdan is an American filmmaker and screenwriter known for her collaborative work with her husband, director Lawrence Kasdan, on several acclaimed films.
-
E.
Rainey Reitman
Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a6082c819097a4301538399f59 |
completed | March 27, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bfcb048190b682f4ec7e404b3e |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8955748819092b0e51cff6cab69 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:05 p.m.