Triple
T11319507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liev Schreiber |
E268055
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Isaac |
E16403
|
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: Isaac | Statement: [Liev Schreiber, givenName, Isaac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isaac Context triple: [Liev Schreiber, givenName, Isaac]
-
A.
Isaac
chosen
Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
-
B.
Isaac
Isaac is an artificial lifeform and science officer from the Kaylon race in the science fiction television series "The Orville."
-
C.
Yacob
Yacob is the surname of Halimah Yacob, a prominent Singaporean politician and the country’s first female president.
-
D.
Jacob
Jacob is the first name of Jake Peavy, a former Major League Baseball pitcher and Cy Young Award winner.
-
E.
Jacob
Jacob is a male given name of Hebrew origin commonly used in many English-speaking and international cultures.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.