Triple
T21473958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Echenoz |
E529804
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I'm Gone
"I'm Gone" is a novel by French author Jean Echenoz that blends deadpan humor, crime caper elements, and existential reflection, and won the Prix Goncourt in 1999.
|
E1486408
|
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: I'm Gone | Statement: [Jean Echenoz, notableWork, I'm Gone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Gone Context triple: [Jean Echenoz, notableWork, I'm Gone]
-
A.
I’m Gone
"I'm Gone" is a track from Jay Sean's debut album "Me Against Myself," showcasing his early blend of R&B and pop influences.
-
B.
I’m Gone
"I’m Gone" is an R&B single by American singer Dani Stevenson, best known for its smooth, soulful style and early-2000s sound.
-
C.
So Gone
"So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
-
D.
So Gone
"So Gone" is a 2003 R&B song by Monica, produced and co-written by Vada Nobles, known for its soulful groove and spoken-word bridge.
-
E.
So Gone
So Gone is a creative work by Jamahl Rye, recognized as one of his notable contributions to his field.
- 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: I'm Gone Triple: [Jean Echenoz, notableWork, I'm Gone]
Generated description
"I'm Gone" is a novel by French author Jean Echenoz that blends deadpan humor, crime caper elements, and existential reflection, and won the Prix Goncourt in 1999.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I'm Gone Target entity description: "I'm Gone" is a novel by French author Jean Echenoz that blends deadpan humor, crime caper elements, and existential reflection, and won the Prix Goncourt in 1999.
-
A.
I’m Gone
"I'm Gone" is a track from Jay Sean's debut album "Me Against Myself," showcasing his early blend of R&B and pop influences.
-
B.
I’m Gone
"I’m Gone" is an R&B single by American singer Dani Stevenson, best known for its smooth, soulful style and early-2000s sound.
-
C.
So Gone
"So Gone" is a 2003 R&B song by Monica, produced and co-written by Vada Nobles, known for its soulful groove and spoken-word bridge.
-
D.
So Gone
"So Gone" is an R&B song best known as a 2003 hit single by Monica, produced by Missy Elliott and Kanye West.
-
E.
So Gone
So Gone is a creative work by Jamahl Rye, recognized as one of his notable contributions to his field.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea156dac819087c4594d022d3df6 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cff96dbc8190adae0f91749530e4 |
completed | May 17, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_6a09d08ffa3c8190b5ab7e4cbf78719f |
completed | May 17, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d18c77e481908a353d443d79b7ca |
completed | May 17, 2026, 2:32 p.m. |
Created at: April 16, 2026, 6:19 p.m.