Triple
T9758662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of the Shipwrecked Sailor |
E236613
|
entity |
| Predicate | serpentDescription |
P90850
|
FINISHED |
| Object | a giant, speaking, benevolent serpent |
—
|
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: a giant, speaking, benevolent serpent | Statement: [The Story of the Shipwrecked Sailor, serpentDescription, a giant, speaking, benevolent serpent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serpentDescription Context triple: [The Story of the Shipwrecked Sailor, serpentDescription, a giant, speaking, benevolent serpent]
-
A.
secretes
Indicates that one entity produces and releases a substance from within itself into its surrounding environment or another entity.
-
B.
tressureTincture
Indicates the color or pattern (tincture) applied specifically to a tressure in heraldic design.
-
C.
tinctureOfLion
Indicates a relationship where something is a medicinal or alchemical preparation (a “tincture”) derived from or associated with a lion.
-
D.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
-
E.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:24 p.m.