Triple
T33265203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteus |
E851624
|
entity |
| Predicate | attemptsToWin |
P176435
|
FINISHED |
| Object | Silvia |
—
|
NE NERFINISHED |
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: Silvia | Statement: [Proteus, attemptsToWin, Silvia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptsToWin Context triple: [Proteus, attemptsToWin, Silvia]
-
A.
winsFor
Indicates that one entity achieves victory or success on behalf of, or in favor of, another entity.
-
B.
attemptedSeasons
Indicates that an entity made an effort to participate in or complete one or more seasons of an activity, event, or series.
-
C.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
D.
triesToTake
Indicates an attempt by one entity to take possession or control of another entity or resource, regardless of whether the attempt succeeds.
-
E.
canBeWonWithout
Indicates that a goal, contest, or outcome can be successfully achieved without the involvement, use, or occurrence of a specified entity or condition.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:32 a.m.