Triple
T33989888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azrael |
E871512
|
entity |
| Predicate | oftenFailsTo |
P113077
|
FINISHED |
| Object | catch the Smurfs |
—
|
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: catch the Smurfs | Statement: [Azrael, oftenFailsTo, catch the Smurfs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenFailsTo Context triple: [Azrael, oftenFailsTo, catch the Smurfs]
-
A.
failsTo
chosen
Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
-
B.
oftenSucceeded
Indicates that one entity frequently or repeatedly follows another in a sequence of successes or outcomes.
-
C.
oftenFrom
Indicates that something frequently originates, derives, or comes from a particular source or location.
-
D.
failsInGeneralFor
Indicates that an action, method, or approach does not succeed under typical or broad conditions, rather than only in specific edge cases.
-
E.
failsNear
Indicates that one entity fails or breaks down in close spatial or temporal proximity to another entity or reference point.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 1, 2026, 1:50 a.m.