Triple
T37375822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28 Barbary Lane |
E927976
|
entity |
| Predicate | hasWorkAdaptationSettingIn |
P78942
|
FINISHED |
| Object | Tales of the City (1993 miniseries) |
—
|
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: Tales of the City (1993 miniseries) | Statement: [28 Barbary Lane, hasWorkAdaptationSettingIn, Tales of the City (1993 miniseries)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkAdaptationSettingIn Context triple: [28 Barbary Lane, hasWorkAdaptationSettingIn, Tales of the City (1993 miniseries)]
-
A.
hasWorkAdaptation
Indicates that an entity has a modified, adjusted, or alternative form specifically adapted for use in a work or professional context.
-
B.
hasWorkAdaptationType
Indicates the type of adaptation or modification applied to a work (e.g., translation, abridgment, dramatization) in relation to its original form.
-
C.
hasWorkAdaptedBy
Indicates that one work has been transformed or re-created into another work, such as through adaptation into a different medium or format.
-
D.
hasWorkAdaptedFrom
Indicates that one work is derived, adapted, or transformed from another pre-existing work.
-
E.
hasWorkAsSetting
chosen
Indicates that a particular work (such as a story, film, or artwork) takes place in or uses a specified location, time, or environment as its setting.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 3, 2026, 4:16 p.m.