Triple
T4205595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Long Fatal Love Chase |
E86174
|
entity |
| Predicate | hasEndingTone |
P53965
|
FINISHED |
| Object | tragic |
—
|
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: tragic | Statement: [A Long Fatal Love Chase, hasEndingTone, tragic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEndingTone Context triple: [A Long Fatal Love Chase, hasEndingTone, tragic]
-
A.
hasEnding
Indicates that one entity concludes with, or terminates in, another entity (such as a specific substring, segment, or final component).
-
B.
hasConditionalEnding
Indicates that one entity concludes or terminates only if a specified condition involving another entity is met.
-
C.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
-
D.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
E.
hasPhonemicTone
Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
- F. None of above. chosen
Provenance (4 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03844314819092639ed7d6ef2c6e |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af0196716c81908b99193690630a29 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af021828208190beb6d1af367b5a65 |
completed | March 9, 2026, 5:23 p.m. |
Created at: March 9, 2026, 3:49 p.m.