Triple
T8974529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robby Mook |
E214352
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Robby |
E158864
|
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: Robby | Statement: [Robby Mook, hasGivenName, Robby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robby Context triple: [Robby Mook, hasGivenName, Robby]
-
A.
Robby
chosen
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
B.
Roby
Roby is a suburban village and residential area within the Metropolitan Borough of Knowsley in Merseyside, England.
-
C.
Robbie
Robbie is a short story by Isaac Asimov about a mute robot companion to a young girl, exploring themes of prejudice, trust, and the human-robot relationship.
-
D.
Robbie
Robbie is the surname of Australian actress and producer Margot Robbie, known for her roles in films such as "The Wolf of Wall Street," "I, Tonya," and "Barbie."
-
E.
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.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6783abe48190840e652fc2acf28f |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc966f7d881908f4f80c2a0d820fe |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:02 p.m.