Triple
T3281961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Running Dog |
E68891
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Moll Robbins
Moll Robbins is a central character in the satirical spy novel "Running Dog" by Don DeLillo.
|
E345165
|
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: Moll Robbins | Statement: [Running Dog, notableCharacter, Moll Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moll Robbins Context triple: [Running Dog, notableCharacter, Moll Robbins]
-
A.
Molly Downtain
Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
-
B.
Mary Thorne
Mary Thorne is the gentle, principled heroine of Anthony Trollope’s novel "Doctor Thorne," whose uncertain social status and romantic struggles drive much of the story’s drama.
-
C.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
D.
Joanne
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
E.
Amber Fitch
Amber Fitch is a fictional character from the television series "Crisis," portrayed as the privileged yet conflicted daughter of the U.S. President.
- 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: Moll Robbins Triple: [Running Dog, notableCharacter, Moll Robbins]
Generated description
Moll Robbins is a central character in the satirical spy novel "Running Dog" by Don DeLillo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moll Robbins Target entity description: Moll Robbins is a central character in the satirical spy novel "Running Dog" by Don DeLillo.
-
A.
Molly Downtain
Molly Downtain is a soccer executive who serves as the general manager of the National Women's Soccer League club San Diego Wave FC.
-
B.
Mary Thorne
Mary Thorne is the gentle, principled heroine of Anthony Trollope’s novel "Doctor Thorne," whose uncertain social status and romantic struggles drive much of the story’s drama.
-
C.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
D.
Joanne
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
E.
Amber Fitch
Amber Fitch is a fictional character from the television series "Crisis," portrayed as the privileged yet conflicted daughter of the U.S. President.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0345d448190a1f936abe7748e33 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85528c88190b1e98c680baf3fa8 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2ec48bf888190a5eeac0aa2cc50c3 |
completed | March 12, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecd134e88190933e52d7f1f5be2a |
completed | March 12, 2026, 4:41 p.m. |
Created at: March 8, 2026, 3:10 p.m.