Triple
T15440847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave (1993 film) |
E369894
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ellen Mitchell
Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
|
E1226735
|
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: Ellen Mitchell | Statement: [Dave (1993 film), mainCharacter, Ellen Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Mitchell Context triple: [Dave (1993 film), mainCharacter, Ellen Mitchell]
-
A.
Ellen McHugh
Ellen McHugh is a fictional character appearing in the 1928 silent drama film "Mother Machree."
-
B.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Ellen Chambers
Ellen Chambers is the daughter of American writer and former Soviet spy Whittaker Chambers.
- 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: Ellen Mitchell Triple: [Dave (1993 film), mainCharacter, Ellen Mitchell]
Generated description
Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ellen Mitchell Target entity description: Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
-
A.
Ellen McHugh
Ellen McHugh is a fictional character appearing in the 1928 silent drama film "Mother Machree."
-
B.
Ellen Drew
Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Ellen Walsh
Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Ellen Chambers
Ellen Chambers is the daughter of American writer and former Soviet spy Whittaker Chambers.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a1d8e088190a2168952ab5dc687 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b1b3bcc81908b1b811ed42205ec |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b7c29e88190b5a049cb2e541a8f |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 3:21 a.m.