Triple
T34896673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecelia Ahern |
E1006453
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Time of My Life
"The Time of My Life" is a contemporary novel by Irish author Cecelia Ahern that follows a woman who is forced to confront and transform her chaotic existence when her personified "Life" shows up to intervene.
|
E2116575
|
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: The Time of My Life | Statement: [Cecelia Ahern, notableWork, The Time of My Life]
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: The Time of My Life Triple: [Cecelia Ahern, notableWork, The Time of My Life]
Generated description
"The Time of My Life" is a contemporary novel by Irish author Cecelia Ahern that follows a woman who is forced to confront and transform her chaotic existence when her personified "Life" shows up to intervene.
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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f781c35d8081909bc0094191f7ea5b |
completed | May 3, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786e654588190b4c79cf15f6b8618 |
completed | June 21, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a378ba8df548190b5e4c9be64126b7a |
completed | June 21, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a378c19bdf481908c9f54f533bd34f2 |
completed | June 21, 2026, 7 a.m. |
Created at: May 3, 2026, 4 p.m.