Triple
T17087621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Latiano |
E414639
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Lower Learning
Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
|
E1249132
|
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: Lower Learning | Statement: [Jill Latiano, appearedIn, Lower Learning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lower Learning Context triple: [Jill Latiano, appearedIn, Lower Learning]
-
A.
Low Entrance
Low Entrance is an alternative name for the Door of Humility, the small, low doorway that serves as the main entrance to the Church of the Nativity in Bethlehem.
-
B.
Less
Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
-
C.
Elementary
"Elementary" is a modern American television drama that reimagines Sherlock Holmes as a contemporary detective in New York City working alongside Dr. Joan Watson.
-
D.
Slow Learner
Slow Learner is a musical artist known for performing experimental, atmospheric tracks associated with the project Entropy.
-
E.
Slow Learner
Slow Learner is a collection of early short stories by American novelist Thomas Pynchon, showcasing the development of his distinctive postmodern style.
- 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: Lower Learning Triple: [Jill Latiano, appearedIn, Lower Learning]
Generated description
Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lower Learning Target entity description: Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
-
A.
Low Entrance
Low Entrance is an alternative name for the Door of Humility, the small, low doorway that serves as the main entrance to the Church of the Nativity in Bethlehem.
-
B.
Less
Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
-
C.
Elementary
"Elementary" is a modern American television drama that reimagines Sherlock Holmes as a contemporary detective in New York City working alongside Dr. Joan Watson.
-
D.
Slow Learner
Slow Learner is a musical artist known for performing experimental, atmospheric tracks associated with the project Entropy.
-
E.
Slow Learner
Slow Learner is a collection of early short stories by American novelist Thomas Pynchon, showcasing the development of his distinctive postmodern style.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012ff7788c819086b2e6c0e382014c |
completed | May 11, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130dbe1f8819095b2d36882bf3287 |
completed | May 11, 2026, 1:29 a.m. |
Created at: April 10, 2026, 5:35 a.m.