Triple
T11011846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Aliyah |
E260264
|
entity |
| Predicate | hasNotableParticipant |
P6467
|
FINISHED |
| Object | Rachel Bluwstein |
E525458
|
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: Rachel Bluwstein | Statement: [Second Aliyah, hasNotableParticipant, Rachel Bluwstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Bluwstein Context triple: [Second Aliyah, hasNotableParticipant, Rachel Bluwstein]
-
A.
Rachel Bluwstein
chosen
Rachel Bluwstein was a pioneering Hebrew poet whose lyrical, introspective verse made her one of the most beloved figures in modern Hebrew literature.
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Rachel Resnick
Rachel Resnick is an American author and memoirist known for her candid, often humorous explorations of personal relationships and emotional vulnerability.
-
D.
Rachel Stern
Rachel Stern is a stage actress best known for originating the role of Liz in the Broadway production of the musical "High Fidelity."
-
E.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e6e19c9c81909d114cf9bd0e2f84 |
completed | April 21, 2026, 2:54 a.m. |
Created at: April 8, 2026, 9:25 p.m.