Triple
T14423427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blink (fictional character or concept) |
E357637
|
entity |
| Predicate | nameIsAmbiguous |
P71696
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Blink (fictional character or concept), nameIsAmbiguous, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameIsAmbiguous Context triple: [Blink (fictional character or concept), nameIsAmbiguous, true]
-
A.
isAmbiguousName
chosen
Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
-
B.
namedForConflict
Indicates that one entity is named after, or in commemoration of, a specific conflict, war, or battle.
-
C.
languageAmbiguity
Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
-
D.
nameUsedBy
Indicates that a particular name is employed or referenced by a specific entity.
-
E.
viewOnAmbiguity
Indicates an entity’s stance or attitude toward ambiguity, such as how much uncertainty or vagueness it accepts or prefers.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.