Triple
T29197920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Divine Liturgy |
E740179
|
entity |
| Predicate | musicTradition |
P526
|
FINISHED |
| Object |
Maronite chant
Maronite chant is the traditional form of liturgical singing in the Maronite Church, characterized by its Syriac texts, modal melodies, and roots in ancient Near Eastern Christian worship.
|
E1855223
|
NE 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: Maronite chant | Statement: [Maronite Divine Liturgy, musicTradition, Maronite chant]
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: Maronite chant Triple: [Maronite Divine Liturgy, musicTradition, Maronite chant]
Generated description
Maronite chant is the traditional form of liturgical singing in the Maronite Church, characterized by its Syriac texts, modal melodies, and roots in ancient Near Eastern Christian worship.
Provenance (5 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663c2f7a481908481c41c06579b39 |
completed | May 2, 2026, 8:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2569b9f6088190ad1beb8a9e4eed49 |
completed | June 7, 2026, 12:53 p.m. |
| NEDg | Description generation | batch_6a256f31adfc8190b5c86993112f300a |
completed | June 7, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a256f98942081909d86856ade8b24be |
completed | June 7, 2026, 1:18 p.m. |
Created at: April 28, 2026, 12:05 p.m.