Triple
T35326612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Bleak Midwinter |
E1020201
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Nicholas Farrell as Tom Newman
Nicholas Farrell as Tom Newman is a central character in the British comedy film "In the Bleak Midwinter," portraying an earnest actor involved in a shoestring production of Shakespeare’s "Hamlet."
|
E2134207
|
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: Nicholas Farrell as Tom Newman | Statement: [In the Bleak Midwinter, stars, Nicholas Farrell as Tom Newman]
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: Nicholas Farrell as Tom Newman Triple: [In the Bleak Midwinter, stars, Nicholas Farrell as Tom Newman]
Generated description
Nicholas Farrell as Tom Newman is a central character in the British comedy film "In the Bleak Midwinter," portraying an earnest actor involved in a shoestring production of Shakespeare’s "Hamlet."
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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7910bc08881909da7f200b115e235 |
completed | May 3, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3819fe8ba88190888735edb84c2e1a |
completed | June 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a381aa74d8081908c07604175258249 |
completed | June 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a381b07217c819089d8c91dbe8a1e1e |
completed | June 21, 2026, 5:10 p.m. |
Created at: May 3, 2026, 4:03 p.m.