Triple
T37832664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Two Orphans (1947 film) |
E943248
|
entity |
| Predicate | hasSisterCharacters |
P152268
|
FINISHED |
| Object | two orphaned sisters |
—
|
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: two orphaned sisters | Statement: [The Two Orphans (1947 film), hasSisterCharacters, two orphaned sisters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSisterCharacters Context triple: [The Two Orphans (1947 film), hasSisterCharacters, two orphaned sisters]
-
A.
sisterCharacter
Indicates that one character is the sister of another character.
-
B.
hasSisterProtagonists
chosen
Indicates that the work features two or more main characters who are sisters as its central protagonists.
-
C.
hasBrotherCharacter
Indicates that one character has another character who is their brother.
-
D.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
E.
hasSister
Indicates that one entity is the sister of another entity.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:19 p.m.