Triple
T38422669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I, Robot (short story) |
E903272
|
entity |
| Predicate | inspiredTitleReuse |
P21192
|
FINISHED |
| Object | Isaac Asimov collection "I, Robot" |
—
|
NE NERFINISHED |
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: Isaac Asimov collection "I, Robot" | Statement: [I, Robot (short story), inspiredTitleReuse, Isaac Asimov collection "I, Robot"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredTitleReuse Context triple: [I, Robot (short story), inspiredTitleReuse, Isaac Asimov collection "I, Robot"]
-
A.
inspiredTitle
chosen
Indicates that one title was created under the influence or inspiration of another title.
-
B.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
C.
usedTitleFrom
Indicates that one entity has employed or adopted the title originating from another entity.
-
D.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
-
E.
retitledAs
Indicates that an entity has been given a new title or name, replacing or supplementing its original one.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:31 p.m.