Triple
T32877312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1313 Mockingbird Lane |
E840962
|
entity |
| Predicate | backlotStreet |
P7951
|
FINISHED |
| Object | Colonial Street |
—
|
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: Colonial Street | Statement: [1313 Mockingbird Lane, backlotStreet, Colonial Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backlotStreet Context triple: [1313 Mockingbird Lane, backlotStreet, Colonial Street]
-
A.
hasBacklot
chosen
Indicates that one entity possesses or includes a backlot area associated with it.
-
B.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
C.
inspiredByRealStreet
Indicates that something is based on, modeled after, or creatively derived from an actual, existing street in the real world.
-
D.
sceneOfFamousLine
Indicates that a scene is the specific context or location in which a famous line is spoken or occurs.
-
E.
placeOfShooting
Indicates the location where a shooting event took place.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:18 a.m.