Triple
T26354460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thin Ice |
E662994
|
entity |
| Predicate | chronologyWithinStory |
P140037
|
FINISHED |
| Object | early life phase of Pink |
—
|
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: early life phase of Pink | Statement: [Thin Ice, chronologyWithinStory, early life phase of Pink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologyWithinStory Context triple: [Thin Ice, chronologyWithinStory, early life phase of Pink]
-
A.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologyIn
chosen
Indicates that one event or temporal entity occurs within the chronological scope or timeframe defined by another.
-
C.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
D.
chronologicalOrderInSagas
Indicates that the referenced sagas are arranged according to the sequence of events in their internal story chronology, rather than by publication or release order.
-
E.
timeOfNarrative
Indicates the specific time or period during which the events of a narrative are set or unfold.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 10:47 p.m.