Triple
T8155086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentin |
E190425
|
entity |
| Predicate | settingTimeOfWorkAppearedIn |
P32393
|
FINISHED |
| Object | 1960s |
—
|
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 | Statement: [Quentin, settingTimeOfWorkAppearedIn, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingTimeOfWorkAppearedIn Context triple: [Quentin, settingTimeOfWorkAppearedIn, 1960s]
-
A.
workSettingPeriod
chosen
Indicates the time period during which a particular work setting or employment context is in effect.
-
B.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
-
C.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
D.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
E.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.