Triple
T5049153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Nicholson |
E113741
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Max |
E11109
|
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: Max | Statement: [Max Nicholson, givenName, Max]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Context triple: [Max Nicholson, givenName, Max]
-
A.
Max
chosen
Max is a masculine given name commonly used in German- and English-speaking countries, often as a short form of Maximilian or Maxwell.
-
B.
Max
Max is a subscription-based streaming service owned by Warner Bros. Discovery that offers a wide range of films, series, and original programming.
-
C.
Max
Max is the ruthless and enigmatic CIA operative who serves as the primary villain in the 2010 action film "The Losers."
-
D.
Maxie
Maxie is the given first name of Brooklyn drill rapper Fivio Foreign.
-
E.
Rex
Rex is the dinosaur mascot representing the University of Calgary at its athletic and campus events.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74249a8c8190952680aee06a9286 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c9305bc8190b323e69c17241ffc |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.