Triple
T16007290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Lieber |
E388250
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lieber |
E299637
|
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: Lieber | Statement: [Jeffrey Lieber, familyName, Lieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieber Context triple: [Jeffrey Lieber, familyName, Lieber]
-
A.
Lieber
chosen
Lieber is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Lieberher
Lieberher is the surname of American actor Jaeden Lieberher, known for his roles in films like "St. Vincent" and "It."
-
C.
Liebesfreud
Liebesfreud is a popular short violin piece by Fritz Kreisler, known for its charming, dance-like character and virtuosic flair.
-
D.
Litzlitz
Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
-
E.
Lieben-Preis
Lieben-Preis is a prestigious Austrian scientific award, often compared to a regional Nobel Prize, granted for outstanding achievements in the fields of molecular biology, chemistry, and physics.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800246c8190a298c5f96478c396 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf20c5348190b42c2e01e8ef5ea8 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.