Triple
T12357945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Egon Spengler |
E294658
|
entity |
| Predicate | colleague |
P398
|
FINISHED |
| Object | Dr. Peter Venkman |
E377579
|
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: Dr. Peter Venkman | Statement: [Dr. Egon Spengler, colleague, Dr. Peter Venkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Peter Venkman Context triple: [Dr. Egon Spengler, colleague, Dr. Peter Venkman]
-
A.
Peter Venkman
chosen
Peter Venkman is a wisecracking, laid-back parapsychologist and one of the main Ghostbusters in the Ghostbusters franchise, famously portrayed by Bill Murray.
-
B.
Dr. Egon Spengler
Dr. Egon Spengler is the bespectacled, scientifically minded Ghostbuster and paranormal researcher from the "Ghostbusters" film franchise.
-
C.
Nicolas Gaster
Nicolas Gaster is a film editor known for his work on the 2006 British drama film "Venus."
-
D.
Dr. Stein
"Dr. Stein" is a popular power metal song by German band Helloween, known for its catchy melodies and humorous, Frankenstein-inspired lyrics.
-
E.
Dr. Funkenstein
Dr. Funkenstein is the flamboyant, funk-powered alter ego of George Clinton, embodying the outlandish, sci-fi mythology and theatrical style of Parliament-Funkadelic.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8e64dc81908c2242c68cd1b86e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab771448190b7f76e424ec0b4b5 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.