Triple
T6202293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Willis |
E138662
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Inside Job
Inside Job is a Hugo Award–winning science fiction novella by Connie Willis that satirically explores skepticism, pseudoscience, and the paranormal.
|
E576333
|
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: Inside Job | Statement: [Connie Willis, notableWork, Inside Job]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inside Job Context triple: [Connie Willis, notableWork, Inside Job]
-
A.
Inside Job
Inside Job is a 2000 studio album by American singer-songwriter Don Henley, marking his first solo release in over a decade and featuring reflective, socially conscious rock songs.
-
B.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
C.
The Brink's Job
The Brink's Job is a 1978 crime-comedy film dramatizing the infamous 1950 Brink's armored car robbery in Boston.
-
D.
Severance
Severance is a critically acclaimed psychological sci-fi thriller series that explores the consequences of surgically separating employees’ work and personal memories.
-
E.
The Informant!
The Informant! is a 2009 dark comedy crime film directed by Steven Soderbergh, in which Matt Damon plays a corporate executive turned whistleblower in a real-life price-fixing scandal.
- 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: Inside Job Triple: [Connie Willis, notableWork, Inside Job]
Generated description
Inside Job is a Hugo Award–winning science fiction novella by Connie Willis that satirically explores skepticism, pseudoscience, and the paranormal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inside Job Target entity description: Inside Job is a Hugo Award–winning science fiction novella by Connie Willis that satirically explores skepticism, pseudoscience, and the paranormal.
-
A.
Inside Job
Inside Job is a 2000 studio album by American singer-songwriter Don Henley, marking his first solo release in over a decade and featuring reflective, socially conscious rock songs.
-
B.
The Job
The Job is a film featuring actor John Ortiz in a significant role.
-
C.
The Brink's Job
The Brink's Job is a 1978 crime-comedy film dramatizing the infamous 1950 Brink's armored car robbery in Boston.
-
D.
Severance
Severance is a critically acclaimed psychological sci-fi thriller series that explores the consequences of surgically separating employees’ work and personal memories.
-
E.
The Informant!
The Informant! is a 2009 dark comedy crime film directed by Steven Soderbergh, in which Matt Damon plays a corporate executive turned whistleblower in a real-life price-fixing scandal.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626a32908190a3332008aee2e4a9 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f3bad2c8190b0ad0f2def3af9f7 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1be41b0c881909aff05430b23dc71 |
completed | March 23, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bf50f6b881909e23e95d6ff0fd4d |
completed | March 23, 2026, 10:31 p.m. |
Created at: March 22, 2026, 4:20 p.m.