Triple
T17005337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of My Life |
E412554
|
entity |
| Predicate | part2Content |
P126154
|
FINISHED |
| Object | letters written by Helen Keller |
—
|
LITERAL FINISHED |
How this triple was built (2 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: letters written by Helen Keller | Statement: [The Story of My Life, part2Content, letters written by Helen Keller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: part2Content Context triple: [The Story of My Life, part2Content, letters written by Helen Keller]
-
A.
module2Content
Indicates that one entity contains or provides the instructional or informational material that makes up the second module in a sequence or course.
-
B.
secondPartTitle
Indicates that one entity is the second part of the title of another entity.
-
C.
secondPartPublished
Indicates that the second part of a multi-part work has been released or made publicly available.
-
D.
secondPartBasedOn
Indicates that the second part of something is determined, derived, or constructed based on the first part.
-
E.
secondPartFocus
Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
- F. None of above. chosen
Provenance (4 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d382400c819092ec0ca0de815888 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.