Triple
T9777788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glamdring |
E237288
|
entity |
| Predicate | timelineUse |
P90608
|
FINISHED |
| Object | from The Hobbit through The Lord of the Rings |
—
|
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: from The Hobbit through The Lord of the Rings | Statement: [Glamdring, timelineUse, from The Hobbit through The Lord of the Rings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timelineUse Context triple: [Glamdring, timelineUse, from The Hobbit through The Lord of the Rings]
-
A.
chronologicalPoint
Indicates that something is associated with, occurs at, or is anchored to a specific point in time within a chronological sequence.
-
B.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
C.
usesTimeTravelFor
Indicates a relationship where an entity employs time travel as a means or method to achieve, affect, or interact with another entity or objective.
-
D.
featuresTimeline
Indicates that something presents or includes a chronological sequence of events or developments.
-
E.
trackUsage
Indicates that one entity monitors and records how another entity or resource is being used over time.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13545808190a47544b0cc666e20 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.