Triple
T36962972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hound Pits Pub |
E914353
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object |
Admiral Havelock
Admiral Havelock is a key military leader and conspirator in the video game "Dishonored," central to the plot surrounding the Loyalist resistance.
|
E2206237
|
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: Admiral Havelock | Statement: [The Hound Pits Pub, associatedWithCharacter, Admiral Havelock]
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: Admiral Havelock Triple: [The Hound Pits Pub, associatedWithCharacter, Admiral Havelock]
Generated description
Admiral Havelock is a key military leader and conspirator in the video game "Dishonored," central to the plot surrounding the Loyalist resistance.
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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9ff0f80988190b9afefc8b4a0753d |
completed | May 5, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c27b940819093043d966aaf23c0 |
completed | June 26, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_6a3e994e3f588190bf16cab65967cb73 |
completed | June 26, 2026, 3:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e99d4a5ec8190b0f451ee9d6127d7 |
completed | June 26, 2026, 3:25 p.m. |
Created at: May 3, 2026, 4:14 p.m.