Triple
T8839263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Lauren |
E210345
|
entity |
| Predicate | familyNameAtBirth |
P18
|
FINISHED |
| Object | Lifshitz |
E210345
|
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: Lifshitz | Statement: [Ralph Lauren, familyNameAtBirth, Lifshitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lifshitz Context triple: [Ralph Lauren, familyNameAtBirth, Lifshitz]
-
A.
Lifshitz
chosen
Lifshitz is the original family surname of American fashion designer and business magnate Ralph Lauren.
-
B.
Levshitz
Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
-
C.
Ginzburg
Ginzburg is a Russian surname most notably associated with Nobel Prize–winning physicist Vitaly Ginzburg and several other prominent figures in science, literature, and the arts.
-
D.
Polyakov
Polyakov is a common Russian surname borne by numerous notable figures in fields such as physics, mathematics, politics, and the arts.
-
E.
Kapitsa
Kapitsa is a Russian surname most notably associated with a family of prominent physicists, including Nobel laureate Pyotr Kapitsa and science popularizer Sergei Kapitsa.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60849f8c8190b7735defecf55a5d |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab79954081908c727d0561208f9c |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:48 p.m.