Triple
T2152020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lukas Haas |
E47800
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alpha Dog |
E21257
|
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: Alpha Dog | Statement: [Lukas Haas, notableWork, Alpha Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpha Dog Context triple: [Lukas Haas, notableWork, Alpha Dog]
-
A.
Alpha Dog
chosen
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
-
B.
Buck
Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
-
C.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
D.
Doggie Julian
Doggie Julian was a prominent American basketball coach best known for leading the Holy Cross Crusaders to the 1947 NCAA championship and later coaching in the NBA.
-
E.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e0e1b481909545e8e6d861adfd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.