Triple
T35950727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elly Patterson |
E1039713
|
entity |
| Predicate | timeProgression |
P159761
|
FINISHED |
| Object | ages in real time within the strip |
—
|
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: ages in real time within the strip | Statement: [Elly Patterson, timeProgression, ages in real time within the strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeProgression Context triple: [Elly Patterson, timeProgression, ages in real time within the strip]
-
A.
timeCycle
Indicates a recurring temporal pattern or interval in which an event, state, or process regularly repeats.
-
B.
timeProfile
chosen
Indicates the temporal pattern or schedule according to which an action, process, or relationship occurs or is distributed over time.
-
C.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
D.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
E.
trainingProgression
Indicates the advancement or change in a subject’s training status over time, typically reflecting movement from earlier to later stages of a training process.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 4:07 p.m.