Triple
T14541072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lovebug |
E341168
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Philip Andelman |
E906170
|
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: Philip Andelman | Statement: [Lovebug, musicVideoDirector, Philip Andelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Andelman Context triple: [Lovebug, musicVideoDirector, Philip Andelman]
-
A.
Philip Andelman
chosen
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
B.
Michael Feldman
Michael Feldman is an American political and communications strategist best known as the husband of television journalist Savannah Guthrie.
-
C.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
-
D.
Michael Greenberg
Michael Greenberg is an American businessman best known as the co-founder and longtime executive leader of the global footwear company Skechers.
-
E.
Michael Edelstein
Michael Edelstein is a television producer best known for his executive production work on the hit series "Desperate Housewives."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 1:22 a.m.