Triple
T20994376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act II (Clybourne Park) |
E517107
|
entity |
| Predicate | hasSettingDetail |
P142400
|
FINISHED |
| Object | the house is now in a gentrifying neighborhood |
—
|
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: the house is now in a gentrifying neighborhood | Statement: [Act II (Clybourne Park), hasSettingDetail, the house is now in a gentrifying neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettingDetail Context triple: [Act II (Clybourne Park), hasSettingDetail, the house is now in a gentrifying neighborhood]
-
A.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
B.
hasSettingRole
Indicates that an entity participates in a setting by fulfilling a specific contextual or functional role within it.
-
C.
hasUserSetting
Indicates that a user is associated with a specific configuration or preference setting.
-
D.
hasNotableSettingBy
Indicates that the subject has a notable or significant setting that was created, designed, or established by the specified entity.
-
E.
hasSettingSymbol
Indicates that one entity uses or is associated with another entity as a symbolic representation of its setting or environment.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1e75188190a97114238ea0b4f9 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.