Triple
T5537362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Robin |
E145195
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jack Robin |
E145195
|
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: Jack Robin | Statement: [Jack Robin, alsoKnownAs, Jack Robin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Robin Context triple: [Jack Robin, alsoKnownAs, Jack Robin]
-
A.
Jack Robin
chosen
Jack Robin is the fictional protagonist of the 1927 film "The Jazz Singer," a young Jewish man torn between his traditional family expectations and his ambition to become a popular jazz performer.
-
B.
Johnny
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
C.
Finley Hobbins
Finley Hobbins is a young American actor best known for his role in Disney’s live-action adaptation of "Dumbo" (2019).
-
D.
Jack
Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
-
E.
John Kimble
John Kimble is a tough undercover police detective who poses as a kindergarten teacher in the comedy film "Kindergarten Cop."
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb19cb8819088b21e8ebef63d8b |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02817cb04819088df72950c791144 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:34 p.m.