Triple
T8135264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas "Babe" Levy |
E189953
|
entity |
| Predicate | famousLineAssociated |
P23420
|
FINISHED |
| Object | Is it safe? |
—
|
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: Is it safe? | Statement: [Thomas "Babe" Levy, famousLineAssociated, Is it safe?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousLineAssociated Context triple: [Thomas "Babe" Levy, famousLineAssociated, Is it safe?]
-
A.
associatedLine
Indicates that one entity is linked or connected to a particular line (such as a line item, line of text, or line in a structure) with which it is contextually or functionally related.
-
B.
associatedWithFamousSlogan
chosen
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
C.
famousWriterAssociated
Indicates a relationship where a well-known or renowned writer is connected or linked to a particular entity (such as a work, place, event, or organization).
-
D.
famousCall
Indicates that one entity makes a phone call to another entity who is widely known or celebrated.
-
E.
famousCallBy
Indicates that one entity is famously referred to or called by a particular name or title by another entity or source.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.