Triple
T6043626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Black |
E134610
|
entity |
| Predicate | usesCopingMechanism |
P54487
|
FINISHED |
| Object | beaver hand puppet |
—
|
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: beaver hand puppet | Statement: [Walter Black, usesCopingMechanism, beaver hand puppet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCopingMechanism Context triple: [Walter Black, usesCopingMechanism, beaver hand puppet]
-
A.
copingMechanism
chosen
Indicates a way in which an entity responds to, manages, or adapts to stress, difficulty, or emotional challenges.
-
B.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
C.
mentionsMechanism
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
D.
backedByMechanism
Indicates that something is supported, enabled, or made possible by an underlying mechanism or system.
-
E.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.