Triple
T12494722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coroner’s Toolkit |
E298653
|
entity |
| Predicate | includesTool |
P1393
|
FINISHED |
| Object |
ifind
ifind is a forensic file-finding utility used in digital investigations to locate and analyze files on disk images.
|
E987502
|
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: ifind | Statement: [The Coroner’s Toolkit, includesTool, ifind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ifind Context triple: [The Coroner’s Toolkit, includesTool, ifind]
-
A.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
-
B.
Findern
Findern is a small village and civil parish in Derbyshire, England, known for its historic buildings and rural character.
-
C.
Find Me
"Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
-
D.
Finder
Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
-
E.
Finder
Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
- 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: ifind Triple: [The Coroner’s Toolkit, includesTool, ifind]
Generated description
ifind is a forensic file-finding utility used in digital investigations to locate and analyze files on disk images.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ifind Target entity description: ifind is a forensic file-finding utility used in digital investigations to locate and analyze files on disk images.
-
A.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
-
B.
Findern
Findern is a small village and civil parish in Derbyshire, England, known for its historic buildings and rural character.
-
C.
Find Me
"Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
-
D.
Finder
Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
-
E.
Finder
Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64badad488190ae1c6c2883a88a4b |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64f9c0e8c81908db3cad51daa77b6 |
completed | May 2, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6504b033c8190a31f49f2e59c6810 |
completed | May 2, 2026, 7:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.