Triple
T21091157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The BFG (2016 film) |
E519639
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Marnie Spencer
Marnie Spencer is a film editor known for her work on the 2016 fantasy adventure film "The BFG."
|
E1467212
|
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: Marnie Spencer | Statement: [The BFG (2016 film), editor, Marnie Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marnie Spencer Context triple: [The BFG (2016 film), editor, Marnie Spencer]
-
A.
Marnie Michaels
Marnie Michaels is a central character on the HBO series "Girls," known for her ambitious, image-conscious personality and complicated friendships and relationships.
-
B.
Marnie Edgar
Marnie Edgar is the troubled, compulsive thief and title character of Alfred Hitchcock’s 1964 psychological thriller "Marnie."
-
C.
Lisa Masterson
Lisa Masterson is an American obstetrician-gynecologist and television personality best known for co-hosting the medical talk show "The Doctors."
-
D.
April Malloy
April Malloy is a central character in the television drama series "Mistresses," portrayed as a single mother rebuilding her life after personal tragedy while navigating complex relationships and moral dilemmas.
-
E.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
- 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: Marnie Spencer Triple: [The BFG (2016 film), editor, Marnie Spencer]
Generated description
Marnie Spencer is a film editor known for her work on the 2016 fantasy adventure film "The BFG."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marnie Spencer Target entity description: Marnie Spencer is a film editor known for her work on the 2016 fantasy adventure film "The BFG."
-
A.
Marnie Michaels
Marnie Michaels is a central character on the HBO series "Girls," known for her ambitious, image-conscious personality and complicated friendships and relationships.
-
B.
Marnie Edgar
Marnie Edgar is the troubled, compulsive thief and title character of Alfred Hitchcock’s 1964 psychological thriller "Marnie."
-
C.
Lisa Masterson
Lisa Masterson is an American obstetrician-gynecologist and television personality best known for co-hosting the medical talk show "The Doctors."
-
D.
April Malloy
April Malloy is a central character in the television drama series "Mistresses," portrayed as a single mother rebuilding her life after personal tragedy while navigating complex relationships and moral dilemmas.
-
E.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ea7f881909db83bf6961b41ec |
completed | April 21, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965d960188190ad697ac51069bb56 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a0966879f08819096d6e9e7abe902c5 |
completed | May 17, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09670fc80c81909cbce03b5e071428 |
completed | May 17, 2026, 6:58 a.m. |
Created at: April 16, 2026, 2:51 p.m.