Triple
T11492088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peregrin Took |
E272438
|
entity |
| Predicate | travelCompanion |
P17836
|
FINISHED |
| Object | Gandalf |
E46698
|
NE 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: Gandalf | Statement: [Peregrin Took, travelCompanion, Gandalf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gandalf Context triple: [Peregrin Took, travelCompanion, Gandalf]
-
A.
Gandalf
chosen
Gandalf is a wise and powerful wizard who plays a central role in guiding the forces of good against evil in J.R.R. Tolkien’s Middle-earth saga.
-
B.
Mithrandir
Mithrandir is another name for Gandalf, the wise and powerful wizard from J.R.R. Tolkien’s Middle-earth legendarium.
-
C.
Radagast
Radagast is a nature-loving wizard from J.R.R. Tolkien’s Middle-earth legendarium, known for his deep affinity with animals and the natural world.
-
D.
Bilbobus
Bilbobus is the main municipal bus network serving the city of Bilbao in Spain, providing urban public transportation across its neighborhoods.
-
E.
Ulmo
Ulmo is the Vala of waters in J.R.R. Tolkien’s legendarium, lord of all seas, rivers, and lakes in Middle-earth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6047d95548190b445aa3b4f1e71cc |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.