Triple
T37412994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phineas Nigellus Black |
E929622
|
entity |
| Predicate | canTravelBetweenPortraits |
P188052
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Phineas Nigellus Black, canTravelBetweenPortraits, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTravelBetweenPortraits Context triple: [Phineas Nigellus Black, canTravelBetweenPortraits, true]
-
A.
connectsTravelBetween
Indicates a relationship where something (such as a route, service, or mode of transport) enables or provides travel between two locations.
-
B.
canTeleport
Indicates that an entity has the ability to instantaneously move itself or something else from one location to another without traversing the space in between.
-
C.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
D.
hasPortrait
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
-
E.
canVisit
Indicates that one entity is permitted or able to go to or access another entity or location.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.