Triple
T34061820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny |
E873509
|
entity |
| Predicate | goalOfModification |
P143170
|
FINISHED |
| Object | to become Lizard Girl |
—
|
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: to become Lizard Girl | Statement: [Penny, goalOfModification, to become Lizard Girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfModification Context triple: [Penny, goalOfModification, to become Lizard Girl]
-
A.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
B.
goalOfReforms
Indicates that a reform or set of reforms is undertaken with the aim or intended objective of achieving a particular outcome.
-
C.
modification
Indicates a change made to an existing entity, altering its properties, structure, or state from a prior version.
-
D.
goalOfRealization
chosen
Indicates the intended outcome or objective that an action, process, or plan is meant to bring into reality or achieve.
-
E.
modificationBy
Indicates that one entity has been altered, changed, or adjusted as a result of an action performed by another entity.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.