Triple
T13031875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néel wall |
E326460
|
entity |
| Predicate | isFavoredIn |
P12179
|
FINISHED |
| Object | very thin ferromagnetic layers |
—
|
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: very thin ferromagnetic layers | Statement: [Néel wall, isFavoredIn, very thin ferromagnetic layers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFavoredIn Context triple: [Néel wall, isFavoredIn, very thin ferromagnetic layers]
-
A.
isFanFavorite
Indicates that an entity is especially popular or well-liked among fans compared to others.
-
B.
favored
chosen
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
C.
liveFavoriteOf
Indicates that one entity is the preferred or most favored choice of another in a live or real-time context.
-
D.
isBelovedOf
Indicates that one entity is deeply loved, cherished, or held in special affection by another entity.
-
E.
isLessPreferredBy
Indicates that one option, item, or entity is chosen or favored less than another by a particular agent or group.
- F. None of above.
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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.