Triple
T10199940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulysses episode "Penelope" |
E238855
|
entity |
| Predicate | concludesWithWord |
P7167
|
FINISHED |
| Object | "yes" |
—
|
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: "yes" | Statement: [Ulysses episode "Penelope", concludesWithWord, "yes"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concludesWithWord Context triple: [Ulysses episode "Penelope", concludesWithWord, "yes"]
-
A.
blendsWith
Indicates that one entity can be mixed or combined smoothly with another to form a uniform or harmonious result.
-
B.
endsWith
chosen
Indicates that one entity terminates with, or has as its final part, the sequence or element represented by the other entity.
-
C.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
D.
concludedWith
Indicates that an event, process, or interaction ended or was finalized by a specific outcome, action, or state.
-
E.
canBeConcludedWith
Indicates that one situation, process, or sequence is able to be finished, resolved, or brought to an end by another specified action or condition.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:14 p.m.