Triple
T38206282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roaming Gnome |
E1009208
|
entity |
| Predicate | hasPersonificationOf |
P81304
|
FINISHED |
| Object | adventure |
—
|
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: adventure | Statement: [Roaming Gnome, hasPersonificationOf, adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPersonificationOf Context triple: [Roaming Gnome, hasPersonificationOf, adventure]
-
A.
isPersonificationOf
chosen
Indicates that one entity represents or embodies an abstract concept, quality, or non-human thing in human form.
-
B.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
C.
isFoodPersonification
Indicates that a food item is depicted or treated as if it were a person, with human-like traits, roles, or behaviors.
-
D.
hasPersona
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
E.
hasFictionalSpokesperson
Indicates that an entity is represented or promoted by a spokesperson who is a fictional or imaginary character.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 3, 2026, 4:30 p.m.