Triple
T36805400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Tanner |
E909434
|
entity |
| Predicate | appearsInAct |
P795
|
FINISHED |
| Object |
Act II of Man and Superman
Act II of *Man and Superman* is a central act in George Bernard Shaw’s philosophical comedy, advancing its debates on love, marriage, and social ideals through the interactions of characters like Jack Tanner.
|
E2200742
|
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: Act II of Man and Superman | Statement: [Jack Tanner, appearsInAct, Act II of Man and Superman]
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: Act II of Man and Superman Triple: [Jack Tanner, appearsInAct, Act II of Man and Superman]
Generated description
Act II of *Man and Superman* is a central act in George Bernard Shaw’s philosophical comedy, advancing its debates on love, marriage, and social ideals through the interactions of characters like Jack Tanner.
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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca69ebb881908fd126349286f00b |
completed | May 3, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dde5d3ea08190be65acf490fdd1e4 |
completed | June 26, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_6a3de06589948190824d1352461a6105 |
completed | June 26, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3debefc4408190ac3f15983096ae2f |
completed | June 26, 2026, 3:03 a.m. |
Created at: May 3, 2026, 4:12 p.m.