Triple
T14658451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tortuga |
E344171
|
entity |
| Predicate | memorableProp |
P115239
|
FINISHED |
| Object | tortoise used as a platform for his severed head |
—
|
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: tortoise used as a platform for his severed head | Statement: [Tortuga, memorableProp, tortoise used as a platform for his severed head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorableProp Context triple: [Tortuga, memorableProp, tortoise used as a platform for his severed head]
-
A.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
B.
notablePropInteraction
Indicates a significant or noteworthy interaction or relationship occurring between the specified entities.
-
C.
giftedProperty
Indicates that one entity has voluntarily transferred ownership of a property to another entity as a gift, without expecting payment or compensation.
-
D.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
E.
memorability
Indicates how likely something is to be easily remembered or retained in memory by someone.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.