Triple
T14933413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Stanley |
E372328
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Mrs. Packard
Mrs. Packard is the dryly humorous, chain-smoking medical officer from Disney’s animated film "Atlantis: The Lost Empire."
|
E1128820
|
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: Mrs. Packard | Statement: [Florence Stanley, portrayed, Mrs. Packard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Packard Context triple: [Florence Stanley, portrayed, Mrs. Packard]
-
A.
Mrs. Vandebilt
"Mrs. Vandebilt" is a song by Paul McCartney and Wings, featured on their 1973 album "Band on the Run."
-
B.
Mildred Vanderhoff
Mildred Vanderhoff was the wife of famed American bandleader and orchestral director Paul Whiteman.
-
C.
Mrs. Parkington
Mrs. Parkington is a 1944 drama film, based on Louis Bromfield’s novel, best known for Greer Garson’s Oscar-nominated performance as a woman reflecting on her long, tumultuous life.
-
D.
Mabel Beckman
Mabel Beckman was a philanthropist and benefactor whose support helped establish the Beckman Institute for Advanced Science and Technology.
-
E.
Mrs. Haggett
Mrs. Haggett is a central, socially ambitious matriarch in Sidney Howard’s play "The Late Christopher Bean," whose reactions to an unexpected artistic legacy drive much of the story’s comedy and conflict.
- 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: Mrs. Packard Triple: [Florence Stanley, portrayed, Mrs. Packard]
Generated description
Mrs. Packard is the dryly humorous, chain-smoking medical officer from Disney’s animated film "Atlantis: The Lost Empire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mrs. Packard Target entity description: Mrs. Packard is the dryly humorous, chain-smoking medical officer from Disney’s animated film "Atlantis: The Lost Empire."
-
A.
Mrs. Vandebilt
"Mrs. Vandebilt" is a song by Paul McCartney and Wings, featured on their 1973 album "Band on the Run."
-
B.
Mildred Vanderhoff
Mildred Vanderhoff was the wife of famed American bandleader and orchestral director Paul Whiteman.
-
C.
Mrs. Parkington
Mrs. Parkington is a 1944 drama film, based on Louis Bromfield’s novel, best known for Greer Garson’s Oscar-nominated performance as a woman reflecting on her long, tumultuous life.
-
D.
Mabel Beckman
Mabel Beckman was a philanthropist and benefactor whose support helped establish the Beckman Institute for Advanced Science and Technology.
-
E.
Mrs. Haggett
Mrs. Haggett is a central, socially ambitious matriarch in Sidney Howard’s play "The Late Christopher Bean," whose reactions to an unexpected artistic legacy drive much of the story’s comedy and conflict.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7fe58ba481908ac8e4112c28c279 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 10, 2026, 2:37 a.m.