Triple
T12533923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieber |
E299637
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lieberman |
E656502
|
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: Lieberman | Statement: [Lieber, hasVariant, Lieberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lieberman Context triple: [Lieber, hasVariant, Lieberman]
-
A.
Lieberman
chosen
Lieberman is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, academia, and the arts.
-
B.
Hal Lieberman
Hal Lieberman is an American film producer known for working on major Hollywood movies, including the science fiction action sequel "Terminator 3: Rise of the Machines."
-
C.
Todd Lieberman
Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
-
D.
Leahy
Leahy is a surname of Irish origin borne by various notable individuals in fields such as politics, music, and public service.
-
E.
Naftali Spitzer
Naftali Spitzer is an Israeli advertising executive best known as the husband of prominent Israeli politician Tzipi Livni.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc9b9ec8190a25e2658d79836bc |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.