Triple
T28889430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifeboat Carpathia (as depicted in film) |
E732655
|
entity |
| Predicate | depictedYear |
P54917
|
FINISHED |
| Object | 1912 (within film’s story) |
—
|
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: 1912 (within film’s story) | Statement: [Lifeboat Carpathia (as depicted in film), depictedYear, 1912 (within film’s story)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedYear Context triple: [Lifeboat Carpathia (as depicted in film), depictedYear, 1912 (within film’s story)]
-
A.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
B.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
-
C.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
-
D.
describedYear
Indicates the specific year in which something is described, documented, or characterized.
-
E.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 7:53 a.m.