Triple
T33217203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longbeards |
E850318
|
entity |
| Predicate | receivedDwarvenRingFrom |
P181002
|
FINISHED |
| Object | Celebrimbor |
—
|
NE NERFINISHED |
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: Celebrimbor | Statement: [Longbeards, receivedDwarvenRingFrom, Celebrimbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedDwarvenRingFrom Context triple: [Longbeards, receivedDwarvenRingFrom, Celebrimbor]
-
A.
receivedHalfKingdomFrom
Indicates that one entity was granted or came into possession of half of a kingdom from another entity.
-
B.
receivedSilverHandFrom
Indicates that one entity was given or awarded a "Silver Hand" (e.g., a title, artifact, or honor) by another entity.
-
C.
hasRing
Indicates that one entity possesses, wears, or is characterized by the presence of a ring.
-
D.
associatedWithRing
Indicates that an entity has a connection or relationship with a specific ring, such as ownership, membership, or involvement.
-
E.
originalRingName
Indicates the name originally used for a ring before any later changes or renamings.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:30 a.m.