Triple
T9853535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Lightfoot |
E239528
|
entity |
| Predicate | spellSpecialty |
P90354
|
FINISHED |
| Object | growth and bridge spells |
—
|
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: growth and bridge spells | Statement: [Ian Lightfoot, spellSpecialty, growth and bridge spells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spellSpecialty Context triple: [Ian Lightfoot, spellSpecialty, growth and bridge spells]
-
A.
notableSpell
Indicates that a particular spell is especially significant, famous, or noteworthy in some context.
-
B.
spells
Indicates that one entity writes or names the letters of a word or sequence in their correct order for another entity or context.
-
C.
inventedSpell
Indicates that one entity is the creator or originator of a particular spell used or known by another entity.
-
D.
escapeSpecialty
Indicates that one entity leaves, avoids, or breaks free from a particular specialized role, field, or area of expertise associated with another entity.
-
E.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:34 p.m.