Triple
T37127385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragons: The Nine Realms |
E919421
|
entity |
| Predicate | dragonSpeciesFeatured |
P7733
|
FINISHED |
| Object |
Night Light
Night Light is a hybrid dragon species, descended from Toothless and the Light Fury, that appears in the Dragons: The Nine Realms and How to Train Your Dragon franchise.
|
E2213565
|
NE FINISHED |
How this triple was built (3 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: Night Light | Statement: [Dragons: The Nine Realms, dragonSpeciesFeatured, Night Light]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Night Light Triple: [Dragons: The Nine Realms, dragonSpeciesFeatured, Night Light]
Generated description
Night Light is a hybrid dragon species, descended from Toothless and the Light Fury, that appears in the Dragons: The Nine Realms and How to Train Your Dragon franchise.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dragonSpeciesFeatured Context triple: [Dragons: The Nine Realms, dragonSpeciesFeatured, Night Light]
-
A.
guardianSpecies
Indicates a relationship where one species serves as a protector or guardian for another species.
-
B.
leaderSpecies
Indicates that one species serves as the leader or dominant guiding species in relation to another species.
-
C.
enemySpecies
Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
-
D.
featuresSpecies
chosen
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
E.
animalClassFeatured
Indicates that a particular animal class is highlighted or prominently presented in relation to something (such as content, a display, or a context).
- F. None of above.
Provenance (6 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a1f7db08190b20030e6c0290e60 |
completed | June 27, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_6a3f6b00a9788190b91e5ef4c2af8340 |
completed | June 27, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3f6b8877dc8190869db81917018452 |
completed | June 27, 2026, 6:19 a.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.