Triple

T24457741
Position Surface form Disambiguated ID Type / Status
Subject Thickskin E616734 entity
Predicate hasTrack P3284 FINISHED
Object I Remember You Two
"I Remember You Two" is a song by the band Thickskin, likely known as a melodic hard rock track associated with their early 2000s material.
 E1643743 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: I Remember You Two | Statement: [Thickskin, hasTrack, I Remember You Two]
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: I Remember You Two
Triple: [Thickskin, hasTrack, I Remember You Two]
Generated description
"I Remember You Two" is a song by the band Thickskin, likely known as a melodic hard rock track associated with their early 2000s material.

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_69e2d7ef9fe08190a0613908758b4e86 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f298c812bc8190969836ee8f0eb2f2 completed April 29, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a100464cfd881909e0699d44b20ae47 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10060d1ab081909d164eaee17906dd completed May 22, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a10068e201081909510138c6caf24fa completed May 22, 2026, 7:32 a.m.
Created at: April 18, 2026, 2:19 a.m.