Triple
T7086947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste Say |
E165098
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Say
Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
|
E639956
|
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: Say | Statement: [Jean-Baptiste Say, familyName, Say]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say Context triple: [Jean-Baptiste Say, familyName, Say]
-
A.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
B.
Speak
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
C.
So
So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
- 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: Say Triple: [Jean-Baptiste Say, familyName, Say]
Generated description
Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Say Target entity description: Say is a French surname most famously associated with economist Jean-Baptiste Say, known for formulating Say's Law in classical economics.
-
A.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
B.
Speak
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
C.
So
So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It
"Say It" is a track by Rihanna from her acclaimed 2007 album *Good Girl Gone Bad*, blending R&B and pop influences with sensual, confessional lyrics.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794888abc8190ada2ae826449745a |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7954253948190ab2bb3f7fc699fc3 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795b1be18819087a4a70fc567bd80 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:41 p.m.