Triple
T17450173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niner Faithful |
E424892
|
entity |
| Predicate | eraOfStrongIdentity |
P5250
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Niner Faithful, eraOfStrongIdentity, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfStrongIdentity Context triple: [Niner Faithful, eraOfStrongIdentity, 1980s]
-
A.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
-
B.
eraOfSignificance
chosen
Indicates the historical period or timeframe during which an entity was particularly important, influential, or noteworthy.
-
C.
typeOfIdentity
Indicates the specific category or nature of identity that characterizes or defines an entity within a given context.
-
D.
eraType
Indicates the classification of a time period or era according to its type or category.
-
E.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.