Triple
T14762224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Baccalieri |
E346894
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Bobby |
E32737
|
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: Bobby | Statement: [Bobby Baccalieri, nickname, Bobby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Context triple: [Bobby Baccalieri, nickname, Bobby]
-
A.
Bobby
chosen
Bobby is a common diminutive or nickname for the given name Robert, often used in English-speaking countries.
-
B.
Bobby
"Bobby" is a film directed by Michael Barrett, best known for its portrayal of the events surrounding the assassination of U.S. Senator Robert F. Kennedy.
-
C.
Bobby
"Bobby" is a landmark 1973 Hindi romantic film directed by Raj Kapoor, celebrated for launching Dimple Kapadia to stardom and popularizing youthful love stories in Indian cinema.
-
D.
Bobby
"Bobby" is a 2006 ensemble drama film written and directed by Emilio Estevez that chronicles the hours leading up to the assassination of U.S. Senator Robert F. Kennedy at the Ambassador Hotel in 1968.
-
E.
Bobby
Bobby is a fictional character from the film "Loosies," a romantic comedy-drama about a New York City pickpocket whose life changes when confronted with unexpected responsibility.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf24c0081909221cb7d761e882f |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.