Triple
T27889415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Words for Little People |
E705311
|
entity |
| Predicate | authorIsAlso |
P179206
|
FINISHED |
| Object | actress |
—
|
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: actress | Statement: [Big Words for Little People, authorIsAlso, actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorIsAlso Context triple: [Big Words for Little People, authorIsAlso, actress]
-
A.
authorOfAlso
Indicates that an entity is also an author of another specified work or item, in addition to any primary authorship already indicated.
-
B.
authorSameAs
Indicates that two author identifiers or representations refer to the same underlying author.
-
C.
hasAuthorAlsoKnownFor
Indicates that the author of a work is additionally recognized or notable for another specific work, role, or achievement.
-
D.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
-
E.
hasAuthorOfSameWorkAs
Indicates that two authors are related by having written or contributed to the same work.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 27, 2026, 6:35 p.m.