Triple
T36725849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eloise Turner |
E907193
|
entity |
| Predicate | timeSettingExperienced |
P302
|
FINISHED |
| Object | 1960s London |
—
|
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: 1960s London | Statement: [Eloise Turner, timeSettingExperienced, 1960s London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSettingExperienced Context triple: [Eloise Turner, timeSettingExperienced, 1960s London]
-
A.
experienceDuration
Indicates the length of time over which an entity undergoes or has undergone a particular experience or event.
-
B.
settingOfExperience
Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
-
C.
timeSettingVariant
Indicates a relationship where one time setting is an alternative or modified version of another time setting.
-
D.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
E.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.