Triple
T11667904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Avengers |
E277301
|
entity |
| Predicate | creators |
P7732
|
FINISHED |
| Object | Mike Deodato Jr. |
E823852
|
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: Mike Deodato Jr. | Statement: [Secret Avengers, creators, Mike Deodato Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Deodato Jr. Context triple: [Secret Avengers, creators, Mike Deodato Jr.]
-
A.
Mike Deodato
chosen
Mike Deodato is a Brazilian comic book artist best known for his dynamic work on major Marvel titles such as The Avengers, Wonder Woman, and various X-Men and Spider-Man series.
-
B.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
-
C.
Phil Tippett
Phil Tippett is an acclaimed American visual effects supervisor and stop-motion animator renowned for his groundbreaking creature and character work on films such as Star Wars, Jurassic Park, and RoboCop.
-
D.
Jason LaBarbera
Jason LaBarbera is a Canadian former professional ice hockey goaltender who played in the NHL and AHL before transitioning into coaching.
-
E.
David Mack
David Mack is an American author best known for his numerous Star Trek tie-in novels and related science fiction works.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13b36ae4819096e6dfca23a69250 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.