Triple
T36961419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morph Ovum |
E914316
|
entity |
| Predicate | resultingFormType |
P141968
|
FINISHED |
| Object | harmless creature |
—
|
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: harmless creature | Statement: [Morph Ovum, resultingFormType, harmless creature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultingFormType Context triple: [Morph Ovum, resultingFormType, harmless creature]
-
A.
resultType
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
B.
finalOutType
chosen
Indicates the resulting or ultimate type produced by an operation, process, or transformation.
-
C.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
D.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
E.
formulaType
Indicates the specific kind or category of formula associated with an entity or expression.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 4:14 p.m.