Triple
T36502080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto da Giussano (legendary) |
E899356
|
entity |
| Predicate | firstKnownMention |
P4114
|
FINISHED |
| Object | 13th century sources (approximate) |
—
|
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: 13th century sources (approximate) | Statement: [Alberto da Giussano (legendary), firstKnownMention, 13th century sources (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownMention Context triple: [Alberto da Giussano (legendary), firstKnownMention, 13th century sources (approximate)]
-
A.
firstExplicitlyMentionedBy
Indicates that one entity is the earliest known source to explicitly mention or refer to another entity.
-
B.
ageFirstMentioned
Indicates the point in time or age at which an entity is first referenced or mentioned in a given context.
-
C.
firstAppeared
chosen
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
D.
firstClearlyRecognizedIn
Indicates the point in time or context when something was first clearly identified, acknowledged, or distinguished as such.
-
E.
firstLineMention
Indicates that the entity is mentioned in the first line of the associated text or document.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.