Triple

T38545258
Position Surface form Disambiguated ID Type / Status
Subject Little Texas E924946 entity
Predicate song P20452 FINISHED
Object What Might Have Been
"What Might Have Been" is a 1993 country ballad by Little Texas known for its reflective lyrics about lost love and missed chances.
 E2274487 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: What Might Have Been | Statement: [Little Texas, song, What Might Have Been]
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: What Might Have Been
Triple: [Little Texas, song, What Might Have Been]
Generated description
"What Might Have Been" is a 1993 country ballad by Little Texas known for its reflective lyrics about lost love and missed chances.

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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2ee29a081908309dba59b18686a completed May 7, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e035391c8190aeb0f9ae822b2269 completed June 29, 2026, 3:02 a.m.
NEDg Description generation batch_6a41e19145f48190a1be014573a35c24 completed June 29, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a41e205f6e08190be4ce8b46c8aec9c completed June 29, 2026, 3:09 a.m.
Created at: May 3, 2026, 4:32 p.m.