Triple
T15497975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesley Sharp |
E378870
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Paranoid |
E724890
|
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: Paranoid | Statement: [Lesley Sharp, notableWork, Paranoid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paranoid Context triple: [Lesley Sharp, notableWork, Paranoid]
-
A.
Paranoid
"Paranoid" is a synth-driven, emotionally charged pop and electro-R&B song by Kanye West from his album 808s & Heartbreak, exploring themes of anxiety and mistrust in relationships.
-
B.
Paranoid
"Paranoid" is a song by British singer-songwriter Mr Hudson that blends pop and electronic influences with introspective lyrics.
-
C.
Paranoid
"Paranoid" is a classic heavy metal song by Black Sabbath, widely regarded as one of the band's signature tracks and a defining anthem of the genre.
-
D.
Paranoid
"Paranoid" is a hit R&B/hip-hop single by Ty Dolla Sign that helped launch his mainstream success with its catchy hook and club-oriented production.
-
E.
Paranoid
chosen
Paranoid is a British crime drama television series featuring Indira Varma in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3667a53c81908be789f99e580265 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:53 a.m.