Triple
T27495560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvel's Spider-Man (2017 TV series) |
E694010
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Max Mittelman
Max Mittelman is an American voice actor known for his work in numerous animated series and video games, including prominent roles in anime and Western animation.
|
E1962524
|
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 Mittelman | Statement: [Marvel's Spider-Man (2017 TV series), voiceActor, Max Mittelman]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Max Mittelman Triple: [Marvel's Spider-Man (2017 TV series), voiceActor, Max Mittelman]
Generated description
Max Mittelman is an American voice actor known for his work in numerous animated series and video games, including prominent roles in anime and Western animation.
Provenance (5 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ebf17488190a5b144062974140c |
completed | May 2, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b07470af8819090cca4cf72202805 |
completed | June 11, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_6a2b085b9e308190bc6b372a8555f07f |
completed | June 11, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b08ed93d081908aeb1dd316e9ab21 |
completed | June 11, 2026, 7:13 p.m. |
Created at: April 27, 2026, 1:08 p.m.