Triple
T23569166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Silver Stallion |
E580052
|
entity |
| Predicate | featuresKnights |
P93957
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Silver Stallion, featuresKnights, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresKnights Context triple: [The Silver Stallion, featuresKnights, true]
-
A.
knightTincture
Indicates that a knight in a coat of arms bears a specified heraldic color or pattern (tincture).
-
B.
swordsFeature
Indicates that something includes or prominently presents swords as a notable element or characteristic.
-
C.
featuresCharacterWith
chosen
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
D.
featuresSpecialAbility
Indicates that an entity possesses or is characterized by a particular special ability.
-
E.
featuresFictionalUnit
Indicates that something includes or presents a fictional unit (such as a character, group, or organization) as part of its content or structure.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd15ca48190afd119ec1b4a07b2 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:35 p.m.