Triple
T37551177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eye of Eternity |
E933592
|
entity |
| Predicate | chronologicalTier |
P197580
|
FINISHED |
| Object | Tier 7 content |
—
|
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: Tier 7 content | Statement: [The Eye of Eternity, chronologicalTier, Tier 7 content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalTier Context triple: [The Eye of Eternity, chronologicalTier, Tier 7 content]
-
A.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
B.
chronologyType
Indicates the type or system of chronological ordering or dating applied to an event, period, or sequence.
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
chronologicRank
Indicates the relative position or order of something within a sequence based on time.
-
E.
chronologicalCriterion
Indicates a temporal condition that orders or selects entities based on when they occur or exist relative to one another.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
| PDg | Predicate description generation | batch_69fe9b013ec481908f89beddb9c4cd4e |
completed | May 9, 2026, 2:25 a.m. |
Created at: May 3, 2026, 4:17 p.m.