Triple
T1580332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray |
E33747
|
entity |
| Predicate | isAlsoUsedAs |
P32842
|
FINISHED |
| Object | surname |
—
|
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: surname | Statement: [Murray, isAlsoUsedAs, surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAlsoUsedAs Context triple: [Murray, isAlsoUsedAs, surname]
-
A.
isUsedAs
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
B.
alsoUsedIn
Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
-
C.
isUsedUnder
Indicates that one entity is utilized or applied within the context, conditions, or framework defined by another entity.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
alsoUsedBy
Indicates that something is additionally utilized or employed by another entity, beyond any primary or previously mentioned user.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.