Triple
T36546850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gift of Men |
E901160
|
entity |
| Predicate | ultimateDestination |
P97481
|
FINISHED |
| Object | unknown to the Valar |
—
|
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: unknown to the Valar | Statement: [Gift of Men, ultimateDestination, unknown to the Valar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ultimateDestination Context triple: [Gift of Men, ultimateDestination, unknown to the Valar]
-
A.
journeyDestination
Indicates that one entity serves as the endpoint or intended destination of another entity’s journey or travel.
-
B.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
C.
travelsFor
Indicates that one entity moves from place to place on behalf of, or for the benefit or purpose of, another entity or objective.
-
D.
journeyPurpose
Indicates the reason or intended goal motivating an entity’s journey or trip.
-
E.
destinationOfVoyageTo
chosen
Indicates the endpoint location that a particular voyage or journey is directed toward or arrives at.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.