Triple
T9111902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club of Rome |
E218621
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Come On!
Come On! is a 2018 report by the Club of Rome that updates and expands on its earlier Limits to Growth analysis, calling for urgent systemic changes to achieve global sustainability and social well-being.
|
E779073
|
NE FINISHED |
How this triple was built (4 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: Come On! | Statement: [Club of Rome, notableWork, Come On!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come On! Context triple: [Club of Rome, notableWork, Come On!]
-
A.
Come On
"Come On" is a track by Greek composer Vangelis featured on his 1988 electronic and new-age album "Earth."
-
B.
Come On
"Come On" is a track from the Christian rock band Born Again, known for its energetic style and faith-centered lyrics.
-
C.
Come On
"Come On" is a track by rapper Lil Wayne from his debut studio album "Tha Block Is Hot."
-
D.
C'mon
C'mon is a 2011 indie rock album by the American band Low, noted for its warm production, slow-building songs, and emotionally resonant songwriting.
-
E.
The Come On
"The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Come On! Triple: [Club of Rome, notableWork, Come On!]
Generated description
Come On! is a 2018 report by the Club of Rome that updates and expands on its earlier Limits to Growth analysis, calling for urgent systemic changes to achieve global sustainability and social well-being.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Come On! Target entity description: Come On! is a 2018 report by the Club of Rome that updates and expands on its earlier Limits to Growth analysis, calling for urgent systemic changes to achieve global sustainability and social well-being.
-
A.
Come On
"Come On" is a track by Greek composer Vangelis featured on his 1988 electronic and new-age album "Earth."
-
B.
Come On
"Come On" is a track from the Christian rock band Born Again, known for its energetic style and faith-centered lyrics.
-
C.
Come On
"Come On" is a track by rapper Lil Wayne from his debut studio album "Tha Block Is Hot."
-
D.
C'mon
C'mon is a 2011 indie rock album by the American band Low, noted for its warm production, slow-building songs, and emotionally resonant songwriting.
-
E.
The Come On
"The Come On" is a 1956 film noir crime drama starring Sterling Hayden, known for its tale of deception, murder, and double-crosses.
- F. None of above. chosen
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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d0316f47c88190920843b469d15069 |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d032778adc8190a087497507a6e1ca |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.