Triple
T9579103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emergence |
E231122
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ashley Aufderheide
Ashley Aufderheide is an American actress best known for her role in the television series "Emergence."
|
E809347
|
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: Ashley Aufderheide | Statement: [Emergence, starring, Ashley Aufderheide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Aufderheide Context triple: [Emergence, starring, Ashley Aufderheide]
-
A.
Rebecca Jarvis
Rebecca Jarvis is an American journalist and television correspondent best known for her business and financial reporting, including her work with ABC News and as host of the podcast "The Dropout."
-
B.
Ashley Totten
Ashley Totten was a pioneering African American labor organizer and civil rights activist best known for helping to establish the first major Black labor union in the United States.
-
C.
Ashley Sidoti
Ashley Sidoti is a former member of the American pop rock band OneRepublic.
-
D.
Sarah Broshar
Sarah Broshar is a film editor known for her work on major feature films, including collaborations with acclaimed directors.
-
E.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
- 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: Ashley Aufderheide Triple: [Emergence, starring, Ashley Aufderheide]
Generated description
Ashley Aufderheide is an American actress best known for her role in the television series "Emergence."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ashley Aufderheide Target entity description: Ashley Aufderheide is an American actress best known for her role in the television series "Emergence."
-
A.
Rebecca Jarvis
Rebecca Jarvis is an American journalist and television correspondent best known for her business and financial reporting, including her work with ABC News and as host of the podcast "The Dropout."
-
B.
Ashley Totten
Ashley Totten was a pioneering African American labor organizer and civil rights activist best known for helping to establish the first major Black labor union in the United States.
-
C.
Ashley Sidoti
Ashley Sidoti is a former member of the American pop rock band OneRepublic.
-
D.
Sarah Broshar
Sarah Broshar is a film editor known for her work on major feature films, including collaborations with acclaimed directors.
-
E.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.