Triple
T30252246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Littlewood |
E769235
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sparrers Can't Sing
"Sparrers Can't Sing" is a 1963 British comedy-drama film set in London’s East End, noted for its use of Cockney dialect and its roots in Joan Littlewood’s Theatre Workshop.
|
E1906571
|
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: Sparrers Can't Sing | Statement: [Joan Littlewood, notableWork, Sparrers Can't Sing]
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: Sparrers Can't Sing Triple: [Joan Littlewood, notableWork, Sparrers Can't Sing]
Generated description
"Sparrers Can't Sing" is a 1963 British comedy-drama film set in London’s East End, noted for its use of Cockney dialect and its roots in Joan Littlewood’s Theatre Workshop.
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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6807c31608190b1c5831c6035dba4 |
completed | May 2, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2764559b108190b792d1dad56245b0 |
completed | June 9, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_6a276541b1e08190bc9b9cb55f3743c7 |
completed | June 9, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a27660e070081909f126b4b0e6cb63b |
completed | June 9, 2026, 1:02 a.m. |
Created at: April 29, 2026, 7:40 p.m.