Triple
T5924851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip G. Epstein |
E131782
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Epstein |
E142195
|
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: Epstein | Statement: [Philip G. Epstein, familyName, Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epstein Context triple: [Philip G. Epstein, familyName, Epstein]
-
A.
Epstein
chosen
Epstein is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as literature, science, politics, and entertainment.
-
B.
Howie Epstein
Howie Epstein was an American bassist and record producer best known for his long tenure with Tom Petty and the Heartbreakers.
-
C.
Steven Epstein
Steven Epstein is a renowned American classical music producer known for his Grammy-winning work on numerous acclaimed recordings.
-
D.
E.P. Ripley
E.P. Ripley is a steam locomotive that serves as one of the original trains operating on the Disneyland Railroad in Disneyland Park.
-
E.
Dr. Gonzo
Dr. Gonzo is the wild, unpredictable attorney and drug-fueled companion of Raoul Duke in Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.