Triple
T29942182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Age of Ultron (comics event) |
E760526
|
entity |
| Predicate | collectedIn |
P23944
|
FINISHED |
| Object |
Age of Ultron hardcover
The Age of Ultron hardcover is a collected edition that compiles Marvel's major crossover storyline in which the villainous AI Ultron devastates Earth, forcing the Avengers and other heroes into a desperate, time-bending struggle to stop him.
|
E760526
|
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: Age of Ultron hardcover | Statement: [Age of Ultron (comics event), collectedIn, Age of Ultron hardcover]
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: Age of Ultron hardcover Triple: [Age of Ultron (comics event), collectedIn, Age of Ultron hardcover]
Generated description
The Age of Ultron hardcover is a collected edition that compiles Marvel's major crossover storyline in which the villainous AI Ultron devastates Earth, forcing the Avengers and other heroes into a desperate, time-bending struggle to stop him.
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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780791108190bfec07f0d7119674 |
completed | May 2, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2721ebb064819094b1a53f04480290 |
completed | June 8, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_6a2723c8705c819094334fcbfb95fa63 |
completed | June 8, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2724cb1d48819088149a586c3c2ae6 |
completed | June 8, 2026, 8:23 p.m. |
Created at: April 29, 2026, 6:23 p.m.