Triple

T29876778
Position Surface form Disambiguated ID Type / Status
Subject Lou Pardini E758754 entity
Predicate notableWork P4 FINISHED
Object What Might Have Been
"What Might Have Been" is a soulful adult contemporary ballad best known as a hit song co-written and performed by musician Lou Pardini.
 E1888967 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: [Lou Pardini, notableWork, 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: [Lou Pardini, notableWork, What Might Have Been]
Generated description
"What Might Have Been" is a soulful adult contemporary ballad best known as a hit song co-written and performed by musician Lou Pardini.

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_69f2245d0d7081909e37ee328542bcd7 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676ca352c819087f6d085ab531b03 completed May 2, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1d5da24819094fdce077bcd0245 completed June 8, 2026, 4:46 p.m.
NEDg Description generation batch_6a26f2f7ea4481909ac9cc6c61c08bdf completed June 8, 2026, 4:51 p.m.
NED2 Entity disambiguation (via description) batch_6a26f458338c81908f14397f08d2b56b completed June 8, 2026, 4:56 p.m.
Created at: April 29, 2026, 5:56 p.m.