Triple
T36788977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Fuller (The Curious Case of Benjamin Button) |
E908999
|
entity |
| Predicate | knowledgeRevelation |
P176479
|
FINISHED |
| Object | her true connection to Benjamin Button |
—
|
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: her true connection to Benjamin Button | Statement: [Caroline Fuller (The Curious Case of Benjamin Button), knowledgeRevelation, her true connection to Benjamin Button]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowledgeRevelation Context triple: [Caroline Fuller (The Curious Case of Benjamin Button), knowledgeRevelation, her true connection to Benjamin Button]
-
A.
knowledgeOutput
Indicates that an entity produces, expresses, or makes available knowledge, information, or learned content as an output.
-
B.
knowledge
chosen
Indicates that one entity possesses information, understanding, or awareness about another entity, concept, or fact.
-
C.
knowledgeEffect
Indicates the impact or change that possessing or acquiring certain knowledge has on an entity, such as altering its beliefs, capabilities, or behavior.
-
D.
knowledgeType
Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
-
E.
knowledgeExchange
Indicates a reciprocal sharing or transfer of knowledge, information, or expertise between entities.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.