Triple
T29002657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Red-Haired Girl |
E736344
|
entity |
| Predicate | primaryTraitAsPerception |
P78428
|
FINISHED |
| Object | kind |
—
|
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: kind | Statement: [Little Red-Haired Girl, primaryTraitAsPerception, kind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTraitAsPerception Context triple: [Little Red-Haired Girl, primaryTraitAsPerception, kind]
-
A.
secondaryCharacterTrait
Indicates that a secondary or supporting character possesses a particular attribute, quality, or personality trait.
-
B.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
C.
perceivedAttribute
chosen
Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
-
D.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
E.
typicalPerception
Indicates the usual or most common way an entity is perceived or experienced through the senses.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a00a22e32f481909b6006c5b1cdefd3 |
completed | May 10, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a00a1bd9c908190b4aa17a61f48126f |
completed | May 10, 2026, 3:18 p.m. |
Created at: April 28, 2026, 9:35 a.m.