Triple
T22189386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "You complete me." |
E548376
|
entity |
| Predicate | semanticImplication |
P113484
|
FINISHED |
| Object | the other person makes the speaker whole |
—
|
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: the other person makes the speaker whole | Statement: ["You complete me.", semanticImplication, the other person makes the speaker whole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticImplication Context triple: ["You complete me.", semanticImplication, the other person makes the speaker whole]
-
A.
implies
Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
-
B.
interpretiveConsequence
chosen
Indicates that one entity is a conclusion, implication, or interpretive outcome that follows from another entity.
-
C.
hasImplicationsFor
Indicates that one entity’s state, action, or condition leads to consequences, effects, or relevance for another entity.
-
D.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
E.
classificationImplication
Indicates that belonging to one classification or category implies belonging to another, more general or related classification.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.