Triple
T32099547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Myth of Anzû |
E819804
|
entity |
| Predicate | creatureAttributeOfAnzû |
P124651
|
FINISHED |
| Object | lion-headed eagle |
—
|
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: lion-headed eagle | Statement: [The Myth of Anzû, creatureAttributeOfAnzû, lion-headed eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatureAttributeOfAnzû Context triple: [The Myth of Anzû, creatureAttributeOfAnzû, lion-headed eagle]
-
A.
creatureTypeOfAnzû
Indicates that one entity is the creature type or species classification of Anzû.
-
B.
monsterCharacteristic
chosen
Indicates that a monster possesses a particular attribute, trait, or quality.
-
C.
guardianSpecies
Indicates a relationship where one species serves as a protector or guardian for another species.
-
D.
lionAttribute
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
-
E.
antagonistAttribute
Indicates that an entity possesses a characteristic or role specifically associated with being an antagonist in a narrative or conflict.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: May 1, 2026, 12:26 a.m.