Triple
T8707965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victory Unintentional |
E206697
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Robbie |
E737234
|
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: Robbie | Statement: [Victory Unintentional, relatedWork, Robbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robbie Context triple: [Victory Unintentional, relatedWork, Robbie]
-
A.
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."
-
B.
Robbie
chosen
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.
-
C.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
D.
Robbie Gee
Robbie Gee is a British actor and comedian known for his roles in film and television, including the crime comedy "Snatch."
-
E.
Robbie Valentino
Robbie Valentino is a moody, goth teenage boy and recurring antagonist-turned-ally in the animated series "Gravity Falls."
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28b78e90819098ab1d4877ab88fe |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:35 p.m.