Triple
T8430511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose DeWitt Bukater |
E199102
|
entity |
| Predicate | olderSelfNarrates |
P58275
|
FINISHED |
| Object | events of Titanic voyage |
—
|
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: events of Titanic voyage | Statement: [Rose DeWitt Bukater, olderSelfNarrates, events of Titanic voyage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olderSelfNarrates Context triple: [Rose DeWitt Bukater, olderSelfNarrates, events of Titanic voyage]
-
A.
ageDuringNarration
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
-
B.
olderComponent
Indicates that one component has existed or was created earlier in time than another component in the relationship.
-
C.
hasAutobiographicalSubject
chosen
Indicates that something (such as a work, text, or narrative) has a subject that is the author or creator’s own life or personal experiences.
-
D.
turnedSenior
Indicates that an entity has transitioned into senior status or a senior role relative to a previous state or position.
-
E.
grandmother
Indicates that one entity is the female parent of another entity's parent.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.