Triple
T36697034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before Watchmen: Comedian |
E906118
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object |
Before Watchmen: Silk Spectre
Before Watchmen: Silk Spectre is a comic book miniseries published by DC Comics that serves as a prequel to Alan Moore and Dave Gibbons' Watchmen, focusing on the early life and crime-fighting career of Laurie Juspeczyk, the second Silk Spectre.
|
E2199324
|
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: Before Watchmen: Silk Spectre | Statement: [Before Watchmen: Comedian, relatedWork, Before Watchmen: Silk Spectre]
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: Before Watchmen: Silk Spectre Triple: [Before Watchmen: Comedian, relatedWork, Before Watchmen: Silk Spectre]
Generated description
Before Watchmen: Silk Spectre is a comic book miniseries published by DC Comics that serves as a prequel to Alan Moore and Dave Gibbons' Watchmen, focusing on the early life and crime-fighting career of Laurie Juspeczyk, the second Silk Spectre.
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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7ea60c481908ea2ee276acea5dc |
completed | May 3, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d178a68e08190861c45e89758e223 |
completed | June 25, 2026, 11:56 a.m. |
| NEDg | Description generation | batch_6a3d226ea2808190824cce8b59e448fe |
completed | June 25, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3d6f06e6248190aa3559d0ba6a4f31 |
completed | June 25, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4:12 p.m.