Triple
T23651253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Fisherman |
E584173
|
entity |
| Predicate | startUseAsAlias |
P153043
|
FINISHED |
| Object | early 2010s |
—
|
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: early 2010s | Statement: [Larry Fisherman, startUseAsAlias, early 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startUseAsAlias Context triple: [Larry Fisherman, startUseAsAlias, early 2010s]
-
A.
usesAliasFor
Indicates that one entity employs an alternative name or identifier to refer to another entity.
-
B.
usesAliasTo
Indicates that one entity employs an alternative name or identifier to refer to or represent another entity.
-
C.
usedByAlias
Indicates that something is utilized, referenced, or accessed through an alternative name or alias.
-
D.
gaveAliasTo
Indicates that one entity assigned or provided an alternative name or alias to another entity.
-
E.
notableAliasUsage
Indicates that an entity is commonly referred to or recognized by a particular alternate name or alias in a notable or significant way.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b357d1108190802bc29e0ed7f097 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:49 p.m.