Triple
T26554558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Pevensie |
E671766
|
entity |
| Predicate | meetsFirstInNarnia |
P161580
|
FINISHED |
| Object | Mr. Tumnus |
—
|
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: Mr. Tumnus | Statement: [Lucy Pevensie, meetsFirstInNarnia, Mr. Tumnus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsFirstInNarnia Context triple: [Lucy Pevensie, meetsFirstInNarnia, Mr. Tumnus]
-
A.
ageAtFirstVisitToNarnia
Indicates the age a person was when they first visited Narnia.
-
B.
roleInTheGoldenCompass
Indicates that an entity has a specific role or character part in the work "The Golden Compass."
-
C.
hasFairyCharacters
Indicates that the subject includes or features characters that are fairies.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
ministryOfMagicClassification
Indicates the official category or status assigned to something by the Ministry of Magic according to its classification system.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61ad613608190855de13501a86007 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f61a16b7848190bf20d2be7e5a16c1 |
completed | May 2, 2026, 3:36 p.m. |
Created at: April 27, 2026, 1:49 a.m.