Triple
T4176952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Baba |
E86499
|
entity |
| Predicate | usesMagicPhrase |
P19775
|
FINISHED |
| Object | Open Sesame |
—
|
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: Open Sesame | Statement: [Ali Baba, usesMagicPhrase, Open Sesame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMagicPhrase Context triple: [Ali Baba, usesMagicPhrase, Open Sesame]
-
A.
usesMagicFor
Indicates that one entity employs or applies magic as a means to achieve, affect, or perform something involving another entity or context.
-
B.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
C.
inscriptionUsedWith
Indicates that a particular inscription is employed together with, or in association with, another object, tool, or context in which it is applied or interpreted.
-
D.
signaturePhraseAssociated
chosen
Indicates that a characteristic or frequently used phrase is associated with a particular entity as its recognizable or defining expression.
-
E.
usesNonce
Indicates that one entity employs a nonce (a unique, typically one-time-use value) as part of its interaction or operation with another entity.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.