Triple
T9735625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Visitor (2007 film) |
E236048
|
entity |
| Predicate | hasUndocumentedImmigrantCharacters |
P90726
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Visitor (2007 film), hasUndocumentedImmigrantCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndocumentedImmigrantCharacters Context triple: [The Visitor (2007 film), hasUndocumentedImmigrantCharacters, true]
-
A.
hasNotableEmigrant
Indicates that an entity has at least one emigrant who is considered notable or significant in some recognized way.
-
B.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
C.
hasNotableRefuge
Indicates that an entity is associated with a particularly important or well-known place of refuge or shelter.
-
D.
hasTemporaryResidents
Indicates that an entity currently accommodates residents who are staying there only for a limited or non-permanent period.
-
E.
restrictedImmigrantsFrom
Indicates that one entity imposed limitations or prohibitions on immigrants originating from another entity.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:22 p.m.