Triple
T28083471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhayamoy (film) |
E709750
|
entity |
| Predicate | sourceMaterialPopularity |
P10683
|
FINISHED |
| Object | popular children’s novel |
—
|
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: popular children’s novel | Statement: [Chhayamoy (film), sourceMaterialPopularity, popular children’s novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceMaterialPopularity Context triple: [Chhayamoy (film), sourceMaterialPopularity, popular children’s novel]
-
A.
isPopularAt
Indicates that an entity enjoys a high level of recognition, approval, or favor within a specified place, context, or time.
-
B.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
C.
sourceMaterialType
chosen
Indicates the type or category of material from which something originates or is derived.
-
D.
hasPopularityCharacteristic
Indicates that an entity possesses a particular attribute or quality related to its level or type of popularity.
-
E.
sourceMaterialCharacter
Indicates that a character originates from or is based on material from a specified source 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 8:53 p.m.