Triple
T30599856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bofur |
E778876
|
entity |
| Predicate | journeyedWith |
P170252
|
FINISHED |
| Object | Thorin Oakenshield |
—
|
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: Thorin Oakenshield | Statement: [Bofur, journeyedWith, Thorin Oakenshield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: journeyedWith Context triple: [Bofur, journeyedWith, Thorin Oakenshield]
-
A.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
B.
isFlownWith
Indicates that one entity travels by air together with, or using the same flight as, another entity.
-
C.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
-
D.
flownWith
Indicates that two entities have traveled together on the same flight or aircraft.
-
E.
traveledToBy
Indicates that an entity has been traveled to or visited by another entity.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 8:25 p.m.