Triple
T4685031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruby (character in "Ruby, Don’t Take Your Love to Town") |
E103899
|
entity |
| Predicate | contemplates |
P1120
|
FINISHED |
| Object | leaving her husband |
—
|
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: leaving her husband | Statement: [Ruby (character in "Ruby, Don’t Take Your Love to Town"), contemplates, leaving her husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemplates Context triple: [Ruby (character in "Ruby, Don’t Take Your Love to Town"), contemplates, leaving her husband]
-
A.
considered
chosen
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
B.
couldConsider
Indicates that one entity has the potential or option to take another entity into account when making a decision, judgment, or evaluation.
-
C.
anticipates
Indicates that one entity expects or predicts a future event, action, or state involving another entity before it actually occurs.
-
D.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
-
E.
concludes
Indicates that one entity brings something (such as an event, process, or discussion) to an end or reaches a final decision or judgment about it.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.