Triple
T14484275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torvald Helmer |
E359186
|
entity |
| Predicate | reactionCharacterizedAs |
P87242
|
FINISHED |
| Object | self-centered |
—
|
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: self-centered | Statement: [Torvald Helmer, reactionCharacterizedAs, self-centered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionCharacterizedAs Context triple: [Torvald Helmer, reactionCharacterizedAs, self-centered]
-
A.
reactionType
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
-
B.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
-
C.
responseCharacterization
chosen
Indicates how a given response is evaluated or described in terms of its qualities, attributes, or type.
-
D.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
netReaction
Indicates the overall chemical transformation resulting from combining all individual reaction steps, showing only the net change between reactants and products.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.