Triple
T17005338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of My Life |
E412554
|
entity |
| Predicate | part3Content |
P50362
|
FINISHED |
| Object | commentary by others about 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: commentary by others about Helen Keller | Statement: [The Story of My Life, part3Content, commentary by others about Helen Keller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: part3Content Context triple: [The Story of My Life, part3Content, commentary by others about Helen Keller]
-
A.
thirdPartTitle
Indicates that an entity holds the title or designation of the third part in a sequence, series, or multipart structure.
-
B.
module4Content
Indicates that an entity contains or is associated with the content of module 4 in a structured sequence or curriculum.
-
C.
section3ContentSummary
chosen
Indicates a summarized representation of the main points or key information contained in the third section of a document or structure.
-
D.
module5Content
Indicates that an entity is part of, or associated with, the content contained in module 5.
-
E.
fourthPartTitle
Indicates that the specified title is the fourth part in a sequence or multi-part work.
- F. None of above.
Provenance (3 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. |
Created at: April 10, 2026, 5:32 a.m.