Triple
T17293698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story of Your Life |
E419850
|
entity |
| Predicate | toldAs |
P14921
|
FINISHED |
| Object | address to the protagonist's daughter |
—
|
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: address to the protagonist's daughter | Statement: [Story of Your Life, toldAs, address to the protagonist's daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toldAs Context triple: [Story of Your Life, toldAs, address to the protagonist's daughter]
-
A.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
-
B.
narratedTo
chosen
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
C.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
-
D.
narratedFrom
Indicates that an event, story, or account is told or described from the perspective or vantage point of a particular source or narrator.
-
E.
transcribedAs
Indicates that one entity is a written or recorded representation of another entity’s content, typically converting it from one form (e.g., audio, handwriting) into text.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43785383881908ec61ddf5e2193cf |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.