Triple
T33912727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws (James Bond character) |
E869360
|
entity |
| Predicate | survivesIncident |
P162692
|
FINISHED |
| Object | fall from great height |
—
|
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: fall from great height | Statement: [Jaws (James Bond character), survivesIncident, fall from great height]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivesIncident Context triple: [Jaws (James Bond character), survivesIncident, fall from great height]
-
A.
survivedAccident
chosen
Indicates that an entity continued to live or remain unharmed after being involved in an accident.
-
B.
survivedDisaster
Indicates that an entity continued to live or exist after experiencing and enduring a disaster.
-
C.
survivesWith
Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
-
D.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
-
E.
survivesShipwreck
Indicates that an entity continues to live or remain alive after experiencing a shipwreck.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:48 a.m.