Triple
T4111828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10 Cloverfield Lane |
E90192
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Michelle
Michelle is the resourceful and determined protagonist of the psychological thriller film "10 Cloverfield Lane."
|
E413356
|
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: Michelle | Statement: [10 Cloverfield Lane, mainCharacter, Michelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Context triple: [10 Cloverfield Lane, mainCharacter, Michelle]
-
A.
Michelle
Michelle is a Fossil Group watch and accessories brand known for its fashion-forward, feminine designs and luxury-inspired styling.
-
B.
Hilary
Hilary is a given name most notably borne by the influential American philosopher Hilary Putnam.
-
C.
Jane Pierce
Jane Pierce was the third wife of early English colonist John Rolfe, known for her connection to the Jamestown settlement in colonial Virginia.
-
D.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
E.
Mary Tyler
Mary Tyler was the wife of U.S. Supreme Court Justice Henry Billings Brown, a prominent jurist who served on the Court in the late 19th and early 20th centuries.
- 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: Michelle Triple: [10 Cloverfield Lane, mainCharacter, Michelle]
Generated description
Michelle is the resourceful and determined protagonist of the psychological thriller film "10 Cloverfield Lane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Target entity description: Michelle is the resourceful and determined protagonist of the psychological thriller film "10 Cloverfield Lane."
-
A.
Michelle
Michelle is a Fossil Group watch and accessories brand known for its fashion-forward, feminine designs and luxury-inspired styling.
-
B.
Hilary
Hilary is a given name most notably borne by the influential American philosopher Hilary Putnam.
-
C.
Jane Pierce
Jane Pierce was the third wife of early English colonist John Rolfe, known for her connection to the Jamestown settlement in colonial Virginia.
-
D.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
E.
Mary Tyler
Mary Tyler was the wife of U.S. Supreme Court Justice Henry Billings Brown, a prominent jurist who served on the Court in the late 19th and early 20th centuries.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01decd808190b4e5a5f76b090b0a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8adc748190be7b34ff37ae3618 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56ca404d88190aad31ec27229cd40 |
completed | March 14, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56d908f3481908ff2c703983e84e3 |
completed | March 14, 2026, 2:15 p.m. |
Created at: March 9, 2026, 3:41 p.m.