Triple
T5707605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Mrs. Tittlemouse |
E125822
|
entity |
| Predicate | hasAnthropomorphicCharacters |
P54138
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Tale of Mrs. Tittlemouse, hasAnthropomorphicCharacters, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnthropomorphicCharacters Context triple: [The Tale of Mrs. Tittlemouse, hasAnthropomorphicCharacters, yes]
-
A.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
B.
includesNonHumanCharacters
chosen
Indicates that the subject contains or features characters that are not human, such as animals, aliens, or other non-human entities.
-
C.
hasFairyCharacters
Indicates that the subject includes or features characters that are fairies.
-
D.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
-
E.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.