Triple
T35317197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream |
E1019934
|
entity |
| Predicate | includedInTourSetlist |
P3738
|
FINISHED |
| Object |
OMG Tour
The OMG Tour was a concert tour headlined by Usher in support of his album "Raymond v. Raymond," known for its elaborate staging, choreography, and high-energy R&B performances.
|
E2135012
|
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: OMG Tour | Statement: [Scream, includedInTourSetlist, OMG Tour]
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: OMG Tour Triple: [Scream, includedInTourSetlist, OMG Tour]
Generated description
The OMG Tour was a concert tour headlined by Usher in support of his album "Raymond v. Raymond," known for its elaborate staging, choreography, and high-energy R&B performances.
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_69f76de9d45c81908a2ed0956b448b65 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f790929a888190aa7084a792c304fc |
completed | May 3, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3819f573fc81909835696ae8a6a339 |
completed | June 21, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_6a381a89da088190b3b7e52b0531b692 |
completed | June 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a381b3c8ecc8190a22b608d4cb29b2a |
completed | June 21, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:03 p.m.