Triple
T9235603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Book of Eli |
E221928
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Cindy Mollo
Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
|
E790981
|
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: Cindy Mollo | Statement: [The Book of Eli, editor, Cindy Mollo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cindy Mollo Context triple: [The Book of Eli, editor, Cindy Mollo]
-
A.
Cindy Morgan
Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Cindy Marcus
Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
-
D.
Connie D'Amico
Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
-
E.
Lorna Morello
Lorna Morello is a romantically fixated, fashion-conscious inmate in the television series "Orange Is the New Black," known for her distinctive accent and unstable relationships.
- 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: Cindy Mollo Triple: [The Book of Eli, editor, Cindy Mollo]
Generated description
Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cindy Mollo Target entity description: Cindy Mollo is a film and television editor known for her work on projects such as the post-apocalyptic drama "The Book of Eli."
-
A.
Cindy Morgan
Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
-
B.
Cindy Holland
Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
-
C.
Cindy Marcus
Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
-
D.
Connie D'Amico
Connie D'Amico is a recurring character on the animated TV show Family Guy, known as the popular yet mean-spirited girl at James Woods Regional High School.
-
E.
Lorna Morello
Lorna Morello is a romantically fixated, fashion-conscious inmate in the television series "Orange Is the New Black," known for her distinctive accent and unstable relationships.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09d42488190b8ccb9c4b62fdda8 |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c72be25c8190931204b21966502e |
completed | April 4, 2026, 8:09 a.m. |
| NEDg | Description generation | batch_69d0c850d65c8190b2bf5da194466dd7 |
completed | April 4, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0ca3b77e081908fdcc1aafaf2344a |
completed | April 4, 2026, 8:22 a.m. |
Created at: March 30, 2026, 7:29 p.m.