Triple
T28889421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifeboat Carpathia (as depicted in film) |
E732655
|
entity |
| Predicate | rescuesGroup |
P166896
|
FINISHED |
| Object | Titanic survivors (as depicted in film) |
—
|
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: Titanic survivors (as depicted in film) | Statement: [Lifeboat Carpathia (as depicted in film), rescuesGroup, Titanic survivors (as depicted in film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rescuesGroup Context triple: [Lifeboat Carpathia (as depicted in film), rescuesGroup, Titanic survivors (as depicted in film)]
-
A.
rescuesFrom
Indicates that one entity saves or frees another entity from a dangerous, harmful, or undesirable situation or source.
-
B.
rescuesWith
Indicates that one entity saves or frees another entity from danger, harm, or captivity using a particular means, tool, or method.
-
C.
seeksToRescue
Indicates an entity’s intention or effort to save or free another entity from danger, harm, or an undesirable situation.
-
D.
rescuedTo
Indicates that one entity has been saved or freed from danger, harm, or a problematic situation and brought to the safety or custody of another entity or location.
-
E.
rescuesContext
Indicates that one entity saves or delivers another entity from danger, harm, or a problematic situation within a specific contextual setting.
- F. None of above. chosen
Provenance (4 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 7:53 a.m.