Triple
T11227440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian McAlpin |
E265730
|
entity |
| Predicate | hasSymbolicAct |
P16860
|
FINISHED |
| Object | refusal to eat |
—
|
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: refusal to eat | Statement: [Marian McAlpin, hasSymbolicAct, refusal to eat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolicAct Context triple: [Marian McAlpin, hasSymbolicAct, refusal to eat]
-
A.
containsSymbolicAct
Indicates that one entity includes or incorporates a symbolic action or gesture associated with another entity.
-
B.
hasAct
chosen
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
C.
symbolicAbility
Indicates the capacity of an entity to understand, manipulate, or use symbols to represent concepts, objects, or relationships.
-
D.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
E.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.