Triple
T17746249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foggy Nelson |
E442997
|
entity |
| Predicate | romanticRelationship |
P9994
|
FINISHED |
| Object |
Marci Stahl
Marci Stahl is a sharp, ambitious lawyer in Marvel's Daredevil universe who often clashes with and later becomes the love interest of Foggy Nelson.
|
E1399452
|
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: Marci Stahl | Statement: [Foggy Nelson, romanticRelationship, Marci Stahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marci Stahl Context triple: [Foggy Nelson, romanticRelationship, Marci Stahl]
-
A.
Lori Marz
Lori Marz is a province in northern Armenia known for its mountainous landscapes, historic monasteries, and the city of Vanadzor as its capital.
-
B.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
C.
Meredith Stiehm
Meredith Stiehm is an American television writer and producer best known for creating the series "Cold Case" and co-creating and showrunning acclaimed dramas such as "Homeland."
-
D.
Diane Burgdorf
Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
-
E.
Diane Burgdorf
Diane Burgdorf is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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: Marci Stahl Triple: [Foggy Nelson, romanticRelationship, Marci Stahl]
Generated description
Marci Stahl is a sharp, ambitious lawyer in Marvel's Daredevil universe who often clashes with and later becomes the love interest of Foggy Nelson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marci Stahl Target entity description: Marci Stahl is a sharp, ambitious lawyer in Marvel's Daredevil universe who often clashes with and later becomes the love interest of Foggy Nelson.
-
A.
Lori Marz
Lori Marz is a province in northern Armenia known for its mountainous landscapes, historic monasteries, and the city of Vanadzor as its capital.
-
B.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
C.
Meredith Stiehm
Meredith Stiehm is an American television writer and producer best known for creating the series "Cold Case" and co-creating and showrunning acclaimed dramas such as "Homeland."
-
D.
Diane Burgdorf
Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
-
E.
Diane Burgdorf
Diane Burgdorf is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dba6fd6481909fdfb630a195d57e |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dce009a48190ad0a2bb48e49002a |
completed | May 16, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd57f9548190b6b7e909eccbbfa9 |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 10:09 a.m.